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252 Results Found

  • Article
  • Open Access
6 Citations
2,223 Views
23 Pages

20 September 2024

In modern urban environments, visual sensors are crucial for enhancing the functionality of navigation systems, particularly for devices designed for visually impaired individuals. The high-resolution images captured by these sensors form the basis f...

  • Article
  • Open Access
1,560 Views
21 Pages

Three-Blind Validation Strategy of Deep Learning Models for Image Segmentation

  • Andrés Larroza,
  • Francisco Javier Pérez-Benito,
  • Raquel Tendero,
  • Juan Carlos Perez-Cortes,
  • Marta Román and
  • Rafael Llobet

Image segmentation plays a central role in computer vision applications such as medical imaging, industrial inspection, and environmental monitoring. However, evaluating segmentation performance can be particularly challenging when ground truth is no...

  • Article
  • Open Access
42 Citations
8,187 Views
17 Pages

12 September 2020

The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....

  • Article
  • Open Access
2 Citations
2,060 Views
14 Pages

Adapted Training to Boost Upper Body Sensorimotor Control and Daily Living Functionality in Visually Impaired Baseball Players

  • Giuditta Carretti,
  • Francesca Spano,
  • Eleonora Sgambati,
  • Mirko Manetti and
  • Mirca Marini

15 July 2024

Background and Objectives: Vision significantly contributes to postural control, balance, coordination, and body kinematics, thus deeply influencing everyday functionality. Sight-impaired subjects often show upper body anatomofunctional and kinetic c...

  • Article
  • Open Access
2,271 Views
13 Pages

10 July 2019

In the integrated services digital broadcasting-terrestrial (ISDB-T) system, the combination of digital terrestrial transmission and MPEG-4 advanced video coding (MPEG-4 AVC) has offered ways to provide a variety of digital high-definition television...

  • Article
  • Open Access
1 Citations
2,446 Views
15 Pages

2 October 2024

Monitoring of the vital signs or environment of disabled people is currently very popular because it increases their safety, improves their quality of life and facilitates remote care. The article proposes a system for automatic protection against bu...

  • Article
  • Open Access
85 Citations
10,885 Views
27 Pages

Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People

  • Jinqiang Bai,
  • Zhaoxiang Liu,
  • Yimin Lin,
  • Ye Li,
  • Shiguo Lian and
  • Dijun Liu

Assistive devices for visually impaired people (VIP) which support daily traveling and improve social inclusion are developing fast. Most of them try to solve the problem of navigation or obstacle avoidance, and other works focus on helping VIP to re...

  • Article
  • Open Access
17 Citations
5,066 Views
29 Pages

30 April 2022

The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrollment phase because the feature extraction is not able to relate ECG collected during enrollment and ECG collected during classification. In this rese...

  • Article
  • Open Access
2 Citations
1,281 Views
29 Pages

Minimizing Bleed-Through Effect in Medieval Manuscripts with Machine Learning and Robust Statistics

  • Adriano Ettari,
  • Massimo Brescia,
  • Stefania Conte,
  • Yahya Momtaz and
  • Guido Russo

Over the last decades, plenty of ancient manuscripts have been digitized all over the world, and particularly in Europe. The fruition of these huge digital archives is often limited by the bleed-through effect due to the acid nature of the inks used,...

  • Article
  • Open Access
726 Views
21 Pages

Sustainable Stability Control of Roof Anchorage Blind Zone in Coal Roadway Bolt Support: Mechanisms and Strategies

  • Houqiang Yang,
  • Changliang Han,
  • Nong Zhang,
  • Jiande Wang,
  • Qingguang Chen,
  • Jie Liu and
  • Shenghan He

As the rock fracture in the roof anchorage blind zone of coal roadway develops, it not only brings about serious deformation, but also results in barrier effect on anchorage stress, restricting the efficiency of the bolt support. In this paper, the e...

  • Article
  • Open Access
1 Citations
1,469 Views
17 Pages

Decellularization and an In Situ Tissue Engineering Approach in the Development of an Aortic Graft: Technological Features and Mechanobiological Studies

  • David Sergeevichev,
  • Vladislav Fomenko,
  • Elena Chepeleva,
  • Elena Kuznetsova,
  • Andrey Vaver,
  • Maxim Zhulkov and
  • Maria Vasiliyeva

23 January 2025

This study presents a novel method to enhance the biocompatibility of decellularized porcine aortic segments while preserving their mechanical properties and histological structure. Detergent-decellularized aortic segments were treated with modified...

  • Article
  • Open Access
7 Citations
3,337 Views
18 Pages

Fuzzy K-Nearest Neighbor Based Dental Fluorosis Classification Using Multi-Prototype Unsupervised Possibilistic Fuzzy Clustering via Cuckoo Search Algorithm

  • Ritipong Wongkhuenkaew,
  • Sansanee Auephanwiriyakul,
  • Nipon Theera-Umpon,
  • Kasemsit Teeyapan and
  • Uklid Yeesarapat

Dental fluorosis in children is a prevalent disease in many regions of the world. One of its root causes is excessive exposure to high concentrations of fluoride in contaminated drinking water during tooth formation. Typically, the disease causes und...

  • Article
  • Open Access
2,291 Views
21 Pages

Advancing Borehole Imaging: A Classification Database Developed via Adaptive Ring Segmentation

  • Zhaopeng Deng,
  • Shuangyang Han,
  • Zeqi Liu,
  • Jian Wang and
  • Haoran Zhao

The use of in-hole imaging to investigate geological structure characteristics is one of the crucial methods for the study of rock mass stability and rock engineering design. The in-hole images are usually influenced by the lighting and imaging chara...

  • Review
  • Open Access
12 Citations
5,204 Views
25 Pages

24 July 2019

The light sensing outer segments of photoreceptors (PRs) are renewed every ten days due to their high photoactivity, especially of the cones during daytime vision. This demands a tremendous amount of energy, as well as a high turnover of their main b...

  • Article
  • Open Access
10 Citations
3,436 Views
14 Pages

An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images

  • Sayed Haggag,
  • Fahmi Khalifa,
  • Hisham Abdeltawab,
  • Ahmed Elnakib,
  • Mohammed Ghazal,
  • Mohamed A. Mohamed,
  • Harpal Singh Sandhu,
  • Norah Saleh Alghamdi and
  • Ayman El-Baz

13 August 2021

Uveitis is one of the leading causes of severe vision loss that can lead to blindness worldwide. Clinical records show that early and accurate detection of vitreous inflammation can potentially reduce the blindness rate. In this paper, a novel framew...

  • Article
  • Open Access
23 Citations
9,788 Views
15 Pages

30 June 2020

Assistive braille technology has existed for many years with the purpose of aiding the blind in performing common tasks such as reading, writing, and communicating with others. Such technologies are aimed towards helping those who are visually impair...

  • Article
  • Open Access
4 Citations
2,677 Views
17 Pages

An End-to-End Real-Time Lightweight Network for the Joint Segmentation of Optic Disc and Optic Cup on Fundus Images

  • Zhijie Liu,
  • Yuanqiong Chen,
  • Xiaohua Xiang,
  • Zhan Li,
  • Bolin Liao and
  • Jianfeng Li

16 November 2022

Glaucoma is the second-most-blinding eye disease in the world and accurate segmentation of the optic disc (OD) and optic cup (OC) is essential for the diagnosis of glaucoma. To solve the problems of poor real-time performance, high algorithm complexi...

  • Article
  • Open Access
9 Citations
2,324 Views
13 Pages

Glaucoma represents a significant global contributor to blindness. Accurately segmenting the optic disc (OD) and optic cup (OC) to obtain precise CDR is essential for effective screening. However, existing convolutional neural network (CNN)-based seg...

  • Article
  • Open Access
40 Citations
5,039 Views
17 Pages

Multi-Path Recurrent U-Net Segmentation of Retinal Fundus Image

  • Yun Jiang,
  • Falin Wang,
  • Jing Gao and
  • Simin Cao

29 May 2020

Diabetes can induce diseases including diabetic retinopathy, cataracts, glaucoma, etc. The blindness caused by these diseases is irreversible. Early analysis of retinal fundus images, including optic disc and optic cup detection and retinal blood ves...

  • Article
  • Open Access
2,629 Views
15 Pages

In contrast to sighted students who acquire mathematical expressions (MEs) from their visual sources, blind students must keep MEs in their memory using the Tactile or Auditory Modality. In this work, we rigorously investigate the ability to temporar...

  • Article
  • Open Access
427 Views
27 Pages

18 December 2025

In recent years, intelligent driving has attracted more and more attention due to its potential to revolutionize transportation safety and efficiency, emerging as a disruptive technology that reshapes the future landscape of transportation. Environme...

  • Article
  • Open Access
9 Citations
2,772 Views
17 Pages

22 July 2022

Objective: This study aimed to investigate the segmentation accuracy of organs at risk (OARs) when denoised computed tomography (CT) images are used as input data for a deep-learning-based auto-segmentation framework. Methods: We used non-contrast en...

  • Review
  • Open Access
7 Citations
2,743 Views
17 Pages

Ocular infectious diseases are an important cause of potentially preventable vision loss and blindness. In the following manuscript, we will review ocular immunology and the pathogenesis of herpesviruses and Pseudomonas aeruginosa infections of the c...

  • Article
  • Open Access
1,420 Views
22 Pages

10 September 2025

Glaucoma is an eye disease caused by increased intraocular pressure (IOP) that affects the optic nerve head (ONH), leading to vision problems and irreversible blindness. Background/Objectives: Glaucoma is the second leading cause of blindness worldwi...

  • Communication
  • Open Access
5 Citations
3,191 Views
9 Pages

17 December 2022

Glaucoma disease is the second leading cause of blindness in the world. This progressive ocular neuropathy is mainly caused by uncontrolled high intraocular pressure. Although there is still no cure, early detection and appropriate treatment can stop...

  • Article
  • Open Access
9 Citations
13,233 Views
15 Pages

17 August 2021

There are 24.5 million visually impaired and blind (VIB) students who have limited access to educational materials due to cost or availability. Although advancement in technology is prevalent, providing individualized learning using technology remain...

  • Article
  • Open Access
6 Citations
4,459 Views
12 Pages

Automatic Segmentation of the Olfactory Bulb

  • Dmitriy Desser,
  • Francisca Assunção,
  • Xiaoguang Yan,
  • Victor Alves,
  • Henrique M. Fernandes and
  • Thomas Hummel

28 August 2021

The olfactory bulb (OB) has an essential role in the human olfactory pathway. A change in olfactory function is associated with a change of OB volume. It has been shown to predict the prognosis of olfactory loss and its volume is a biomarker for vari...

  • Article
  • Open Access
274 Views
30 Pages

PMG-SAM: Boosting Auto-Segmentation of SAM with Pre-Mask Guidance

  • Jixue Gao,
  • Xiaoyan Jiang,
  • Anjie Wang,
  • Yongbin Gao,
  • Zhijun Fang and
  • Michael S. Lew

6 January 2026

The Segment Anything Model (SAM), a foundational vision model, struggles with fully automatic segmentation of specific objects. Its “segment everything” mode, reliant on a grid-based prompt strategy, suffers from localization blindness an...

  • Article
  • Open Access
5 Citations
2,621 Views
18 Pages

12 November 2022

Currently, glaucoma has become an important cause of blindness. At present, although glaucoma cannot be cured, early treatment can prevent it from getting worse. A reliable way to detect glaucoma is to segment the optic disc and cup and then measure...

  • Article
  • Open Access
13 Citations
3,949 Views
14 Pages

Improvement of Retinal Vessel Segmentation Method Based on U-Net

  • Ning Wang,
  • Kefeng Li,
  • Guangyuan Zhang,
  • Zhenfang Zhu and
  • Peng Wang

Retinal vessel segmentation remains a challenging task because the morphology of the retinal vessels reflects the health of a person, which is essential for clinical diagnosis. Therefore, achieving accurate segmentation of the retinal vessel shape ca...

  • Article
  • Open Access
15 Citations
2,384 Views
17 Pages

23 November 2022

Diabetic Retinopathy (DR) is a diabetic complication that predisposes patients to visual impairments that could lead to blindness. Lesion segmentation using deep learning algorithms is an effective measure to screen and prevent early DR. However, the...

  • Article
  • Open Access
9 Citations
4,285 Views
30 Pages

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging

  • Rafael Berenguer-Vidal,
  • Rafael Verdú-Monedero,
  • Juan Morales-Sánchez,
  • Inmaculada Sellés-Navarro,
  • Rocío del Amor,
  • Gabriel García and
  • Valery Naranjo

1 December 2021

Glaucoma is a neurodegenerative disease process that leads to progressive damage of the optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology enables peripapillary circular scans of the retina and the measurement of t...

  • Article
  • Open Access
15 Citations
5,813 Views
17 Pages

Automated Diagnosis of Diabetic Retinopathy Using Deep Learning: On the Search of Segmented Retinal Blood Vessel Images for Better Performance

  • Mohammad B. Khan,
  • Mohiuddin Ahmad,
  • Shamshul B. Yaakob,
  • Rahat Shahrior,
  • Mohd A. Rashid and
  • Hiroki Higa

Diabetic retinopathy is one of the most significant retinal diseases that can lead to blindness. As a result, it is critical to receive a prompt diagnosis of the disease. Manual screening can result in misdiagnosis due to human error and limited huma...

  • Article
  • Open Access
2 Citations
1,748 Views
24 Pages

Research and Implementation of Travel Aids for Blind and Visually Impaired People

  • Jun Xu,
  • Shilong Xu,
  • Mingyu Ma,
  • Jing Ma and
  • Chuanlong Li

21 July 2025

Blind and visually impaired (BVI) people face significant challenges in perception, navigation, and safety during travel. Existing infrastructure (e.g., blind lanes) and traditional aids (e.g., walking sticks, basic audio feedback) provide limited fl...

  • Article
  • Open Access
22 Citations
6,952 Views
21 Pages

10 July 2021

Diabetic retinopathy (DR) is one of the diseases that cause blindness globally. Untreated accumulation of fat and cholesterol may trigger atherosclerosis in the diabetic patient, which may obstruct blood vessels. Retinal fundus images are used as dia...

  • Article
  • Open Access
3 Citations
1,740 Views
15 Pages

11 April 2023

This paper presents a novel means of sensorless drive of the winding segmented permanent magnet linear motor (WS-PMLM). In order to solve the problem of the deviation of the position and speed estimation of the mover caused by the sharp changes of th...

  • Article
  • Open Access
9 Citations
2,965 Views
12 Pages

2 January 2024

Diabetic retinopathy is a prevalent eye disease that poses a potential risk of blindness. Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass similarity in terms of location, color, and shape among different le...

  • Article
  • Open Access
2,381 Views
13 Pages

7 June 2025

In this paper, the use of generative multimodal models for image analysis is proposed, with the goal of determining the selection of parameters for 3D scene segmentation algorithms in systems designed to assist blind individuals in navigation. AI alg...

  • Article
  • Open Access
6 Citations
3,036 Views
16 Pages

Adversarial Attacks on Medical Segmentation Model via Transformation of Feature Statistics

  • Woonghee Lee,
  • Mingeon Ju,
  • Yura Sim,
  • Young Kul Jung,
  • Tae Hyung Kim and
  • Younghoon Kim

19 March 2024

Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vu...

  • Article
  • Open Access
10 Citations
2,961 Views
20 Pages

29 September 2022

Affected by solar radiation, atmospheric windows, radiation aberrations, and other air and sky environmental factors, remote sensing images usually contain a large amount of noise and suffer from problems such as non-uniform image feature density. Th...

  • Article
  • Open Access
1,176 Views
15 Pages

Cup and Disc Segmentation in Smartphone Handheld Ophthalmoscope Images with a Composite Backbone and Double Decoder Architecture

  • Thiago Paiva Freire,
  • Geraldo Braz Júnior,
  • João Dallyson Sousa de Almeida and
  • José Ribamar Durand Rodrigues Junior

11 April 2025

Glaucoma is a visual disease that affects millions of people, and early diagnosis can prevent total blindness. One way to diagnose the disease is through fundus image examination, which analyzes the optic disc and cup structures. However, screening p...

  • Article
  • Open Access
67 Citations
6,357 Views
22 Pages

9 June 2021

The electrocardiogram (ECG) signal has become a popular biometric modality due to characteristics that make it suitable for developing reliable authentication systems. However, the long segment of signal required for recognition is still one of the l...

  • Article
  • Open Access
43 Citations
6,373 Views
18 Pages

29 June 2023

On 6 February 2023 (UTC), an earthquake doublet, consisting of the Mw 7.8 Pazarcik earthquake and the Mw 7.5 Elbistan earthquake, struck south-central Turkey and northwestern Syria, which was the largest earthquake that occurred in Turkey since the 1...

  • Article
  • Open Access
26 Citations
3,347 Views
10 Pages

20 February 2022

Diabetic retinopathy (DR) is one of the most important microvascular complications associated with diabetes mellitus. The early signs of DR are microaneurysms, which can lead to complete vision loss. The detection of DR at an early stage can help to...

  • Article
  • Open Access
1 Citations
1,621 Views
16 Pages

Overlay Optimization Algorithm for Directed Sensor Networks with Virtual Force and Particle Swarm Optimization Synergy

  • Lingjian Zhu,
  • Li Lin,
  • Qi Liang,
  • Yaling Lu,
  • Haonan Tan,
  • Xuan Ma and
  • Dongya Zhang

19 October 2023

In this study, a novel algorithm for optimizing the coverage of directed sensor networks is proposed. The deployment of sensor networks is typically random, leading to the potential issues of extensive coverage overlaps and blind areas. To address th...

  • Article
  • Open Access
4 Citations
3,086 Views
12 Pages

Development of the AI Pipeline for Corneal Opacity Detection

  • Kenji Yoshitsugu,
  • Eisuke Shimizu,
  • Hiroki Nishimura,
  • Rohan Khemlani,
  • Shintaro Nakayama and
  • Tadamasa Takemura

Ophthalmological services face global inadequacies, especially in low- and middle-income countries, which are marked by a shortage of practitioners and equipment. This study employed a portable slit lamp microscope with video capabilities and cloud s...

  • Article
  • Open Access
2 Citations
2,783 Views
21 Pages

Remodeling of the Platynereis Musculature during Sexual Maturation

  • Ina Dahlitz,
  • Adriaan Dorresteijn and
  • Anne Holz

6 February 2023

Background: The external transformations associated with sexual maturation in Platynereis dumerilii (Audouin and Milne Edwards) are well studied, whereas the internal changes along the body axis have not been systematically analyzed. Therefore, we ex...

  • Case Report
  • Open Access
3 Citations
5,289 Views
9 Pages

20 July 2022

We describe the exceptional case of spinal cord malformation, associating neurenteric cyst, and cervical vertebral malformation, initially presenting as torticollis. A 4-month-old child presented with torticollis to the right since birth. A cervical...

  • Article
  • Open Access
16 Citations
8,326 Views
19 Pages

In this paper, we propose a single image dehazing method aiming at addressing the inherent limitations of the extensively employed dark channel prior (DCP). More concretely, we introduce the Gaussian mixture model (GMM) to segment the input hazy imag...

  • Article
  • Open Access
32 Citations
5,613 Views
24 Pages

Seismic and Geodetic Imaging (DInSAR) Investigation of the March 2021 Strong Earthquake Sequence in Thessaly, Central Greece

  • Gerassimos A. Papadopoulos,
  • Apostolos Agalos,
  • Andreas Karavias,
  • Ioanna Triantafyllou,
  • Issaak Parcharidis and
  • Efthymios Lekkas

Three strong earthquakes ruptured the northwest Thessaly area, Central Greece, on the 3, 4 and 12 March 2021. Since the area did not rupture by strong earthquakes in the instrumental period of seismicity, it is of great interest to understand the sei...

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