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41 Results Found

  • Article
  • Open Access
12 Citations
6,030 Views
13 Pages

Shared Ancestry and Signatures of Recent Selection in Gotland Sheep

  • Seyed Mohammad Ghoreishifar,
  • Christina Marie Rochus,
  • Sima Moghaddaszadeh-Ahrabi,
  • Pourya Davoudi,
  • Siavash Salek Ardestani,
  • Natalia A. Zinovieva,
  • Tatiana E. Deniskova and
  • Anna M. Johansson

17 March 2021

Gotland sheep, a breed native to Gotland, Sweden (an island in the Baltic Sea), split from the Gute sheep breed approximately 100 years ago, and since, has probably been crossed with other breeds. This breed has recently gained popularity, due to its...

  • Article
  • Open Access
17 Citations
4,355 Views
14 Pages

Introduction: Diverse algorithms for signal detection exist. However, inconsistent results are often encountered among the algorithms due to different levels of specificity used in defining the adverse events (AEs) and signal threshold. We aimed to e...

  • Article
  • Open Access
4 Citations
9,203 Views
20 Pages

31 March 2010

The present paper describes a novel recognition method of pulmonary nodules (i.e., cancer candidates) in thoracic computed tomography scans by use of three-dimensional spherical and cylindrical models that represent nodules and blood vessels, respect...

  • Article
  • Open Access
12 Citations
2,874 Views
23 Pages

23 November 2022

As the radar resolution improves, the extended structure of the targets in radar echoes can make a significant contribution to improving tracking performance, hence specific trackers need to be designed for these targets. However, traditional radar t...

  • Article
  • Open Access
5 Citations
3,664 Views
16 Pages

29 August 2021

This study was conducted in Lake Savalen in southeastern Norway, focusing on genetic diversity and the structure of hatchery-reared brown trout (Salmo trutta) as compared with wild fish in the lake and in two tributaries. The genetic analysis, based...

  • Article
  • Open Access
67 Citations
8,766 Views
22 Pages

12 September 2019

Magnetic resonance imaging (MRI) is a common imaging technique used extensively to study human brain activities. Recently, it has been used for scanning the fetal brain. Amongst 1000 pregnant women, 3 of them have fetuses with brain abnormality. Henc...

  • Article
  • Open Access
9 Citations
3,506 Views
11 Pages

Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning

  • Julie Wang,
  • Alexander Wood,
  • Chao Gao,
  • Kayvan Najarian and
  • Jonathan Gryak

24 March 2021

The spleen is one of the most frequently injured organs in blunt abdominal trauma. Computed tomography (CT) is the imaging modality of choice to assess patients with blunt spleen trauma, which may include lacerations, subcapsular or parenchymal hemat...

  • Article
  • Open Access
38 Citations
4,942 Views
26 Pages

5 July 2019

Macular edema (ME) is a retinal condition in which central vision of a patient is affected. ME leads to accumulation of fluid in the surrounding macular region resulting in a swollen macula. Optical coherence tomography (OCT) and the fundus photograp...

  • Article
  • Open Access
8 Citations
3,975 Views
20 Pages

Characterisation of Composite Materials for Wind Turbines Using Frequency Modulated Continuous Wave Sensing

  • Wenshuo Tang,
  • Jamie Blanche,
  • Daniel Mitchell,
  • Samuel Harper and
  • David Flynn

10 February 2023

Wind turbine blades (WTBs) are critical sub-systems consisting of composite multi-layer material structures. WTB inspection is a complex and labour intensive process, and failure of it can lead to substantial energy and economic losses to asset owner...

  • Article
  • Open Access
58 Citations
2,677 Views
23 Pages

Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network

  • Salar Bijari,
  • Sahar Sayfollahi,
  • Shiwa Mardokh-Rouhani,
  • Sahar Bijari,
  • Sadegh Moradian,
  • Ziba Zahiri and
  • Seyed Masoud Rezaeijo

This study evaluates the reproducibility of machine learning models that integrate radiomics and deep features (features extracted from a 3D autoencoder neural network) to classify various brain hemorrhages effectively. Using a dataset of 720 patient...

  • Review
  • Open Access
14 Citations
5,744 Views
36 Pages

Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials

  • Somit Jain,
  • Dharmik Naicker,
  • Ritu Raj,
  • Vedanshu Patel,
  • Yuh-Chung Hu,
  • Kathiravan Srinivasan and
  • Chun-Ping Jen

Cancer is a dangerous and sometimes life-threatening disease that can have several negative consequences for the body, is a leading cause of mortality, and is becoming increasingly difficult to detect. Each form of cancer has its own set of traits, s...

  • Article
  • Open Access
8 Citations
2,374 Views
13 Pages

21 May 2024

Date palm (Phoenix dactylifera L.) fruit samples belonging to the ‘Mejhoul’ and ‘Boufeggous’ cultivars were harvested at the Tamar stage and used in our experiments. Before scanning, date samples were dried using convective dr...

  • Article
  • Open Access
16 Citations
5,537 Views
14 Pages

Diagnostics of Melanocytic Skin Tumours by a Combination of Ultrasonic, Dermatoscopic and Spectrophotometric Image Parameters

  • Kumar Anubhav Tiwari,
  • Renaldas Raišutis,
  • Jokūbas Liutkus and
  • Skaidra Valiukevičienė

Dermatoscopy, high-frequency ultrasonography (HFUS) and spectrophotometry are promising quantitative imaging techniques for the investigation and diagnostics of cutaneous melanocytic tumors. In this paper, we propose the hybrid technique and automati...

  • Letter
  • Open Access
18 Citations
6,003 Views
12 Pages

Quantification of Soil Organic Carbon in Biochar-Amended Soil Using Ground Penetrating Radar (GPR)

  • Xiaoqing Shen,
  • Tyler Foster,
  • Heather Baldi,
  • Iliyana Dobreva,
  • Byron Burson,
  • Dirk Hays,
  • Rodante Tabien and
  • Russell Jessup

3 December 2019

The application of biochar amendments to soil has been proposed as a strategy for mitigating global carbon (C) emissions and soil organic carbon (SOC) loss. Biochar can provide additional agronomic benefits to cropping systems, including improved cro...

  • Article
  • Open Access
22 Citations
5,698 Views
28 Pages

Machine Vision Approach for Diagnosing Tuberculosis (TB) Based on Computerized Tomography (CT) Scan Images

  • Inayatul Haq,
  • Tehseen Mazhar,
  • Qandeel Nasir,
  • Saqib Razzaq,
  • Syed Agha Hassnain Mohsan,
  • Mohammed H. Alsharif,
  • Hend Khalid Alkahtani,
  • Ayman Aljarbouh and
  • Samih M. Mostafa

23 September 2022

Tuberculosis is curable, still the world’s second inflectional murderous disease, and ranked 13th (in 2020) by the World Health Organization on the list of leading death causes. One of the reasons for its fatality is the unavailability of moder...

  • Article
  • Open Access
47 Citations
7,050 Views
18 Pages

Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data

  • Yanjun Wang,
  • Qi Chen,
  • Lin Liu,
  • Xiong Li,
  • Arun Kumar Sangaiah and
  • Kai Li

3 August 2018

Power lines classification is important for electric power management and geographical objects extraction using LiDAR (light detection and ranging) point cloud data. Many supervised classification approaches have been introduced for the extraction of...

  • Article
  • Open Access
5 Citations
2,404 Views
20 Pages

Multisource Smart Computer-Aided System for Mining COVID-19 Infection Data

  • Mohammad T. Abou-Kreisha,
  • Humam K. Yaseen,
  • Khaled A. Fathy,
  • Ebeid A. Ebeid and
  • Kamal A. ElDahshan

In this paper, we approach the problem of detecting and diagnosing COVID-19 infections using multisource scan images including CT and X-ray scans to assist the healthcare system during the COVID-19 pandemic. Here, a computer-aided diagnosis (CAD) sys...

  • Article
  • Open Access
18 Citations
3,902 Views
12 Pages

5 September 2022

Machine learning approaches are employed to analyze differences in real-time reverse transcription polymerase chain reaction scans to differentiate between COVID-19 and pneumonia. However, these methods suffer from large training data requirements, u...

  • Article
  • Open Access
2 Citations
2,038 Views
13 Pages

Cyber deception technology plays an important role in monitoring attackers’ activities and detecting new attack types. However, in a deceptive environment, low-risk attack traffic, such as scanning, is included in large quantities and acts as n...

  • Article
  • Open Access
7 Citations
2,891 Views
14 Pages

Craniotomy Simulator with Force Myography and Machine Learning-Based Skills Assessment

  • Ramandeep Singh,
  • Anoop Kant Godiyal,
  • Parikshith Chavakula and
  • Ashish Suri

Craniotomy is a fundamental component of neurosurgery that involves the removal of the skull bone flap. Simulation-based training of craniotomy is an efficient method to develop competent skills outside the operating room. Traditionally, an expert su...

  • Article
  • Open Access
3 Citations
2,880 Views
21 Pages

25 November 2020

In this paper, the uplink information-coupled polar-coded sparse code multiple access (PC-SCMA) system is proposed. For this system, we first design the encoding method of systematic joint parity check and CRC-aided (PCCA) polar code. Using the syste...

  • Article
  • Open Access
12 Citations
3,434 Views
17 Pages

29 October 2021

Domestication of teleost fish is a recent development, and in most cases started less than 50 years ago. Shedding light on the genomic changes in key economic traits during the domestication process can provide crucial insights into the evolutionary...

  • Article
  • Open Access
6 Citations
1,924 Views
13 Pages

Machine Learning-Based COVID-19 Diagnosis by Demographic Characteristics and Clinical Data

  • Fatemeh Gorji,
  • Sajad Shafiekhani,
  • Peyman Namdar,
  • Sina Abdollahzade and
  • Sima Rafiei

30 January 2022

Introduction: To facilitate rapid and effective diagnosis of COVID-19, effective screening can alleviate the challenges facing healthcare systems. We aimed to develop a machine learning-based prediction of COVID-19 diagnosis and design a graphical us...

  • Article
  • Open Access
1 Citations
570 Views
14 Pages

Endocranial Morphology in Metopism

  • Silviya Nikolova,
  • Diana Toneva and
  • Gennady Agre

9 July 2025

Comparative investigations on homogenous cranial series have demonstrated that metopism is linked to a specific configuration of the cranial vault; however, there are no comparative data concerning the endocranial morphology in this condition. This s...

  • Article
  • Open Access
4 Citations
1,580 Views
17 Pages

7 October 2023

The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target,...

  • Article
  • Open Access
1 Citations
2,422 Views
17 Pages

Computed Tomography-Image-Based Glioma Grading Using Radiomics and Machine Learning: A Proof-of-Principle Study

  • Melike Bilgin,
  • Sabriye Sennur Bilgin,
  • Burak Han Akkurt,
  • Walter Heindel,
  • Manoj Mannil and
  • Manfred Musigmann

20 January 2025

Background/Objectives: In recent years, numerous studies have been published on determining the WHO grade of central nervous system (CNS) tumors using machine learning algorithms. These studies are usually based on magnetic resonance imaging (MRI) an...

  • Article
  • Open Access
5,648 Views
13 Pages

5 November 2024

Background: Previous studies have demonstrated that mind wandering during incubation phases enhances post-incubation creative performance. Recent empirical evidence, however, has highlighted a specific form of mind wandering closely related to creati...

  • Article
  • Open Access
5 Citations
1,467 Views
12 Pages

26 February 2025

Red jujube is a nutritious food, known as the “king of all fruits”. The quality of Chinese red jujube is closely associated with its place of origin. To classify Chinese red jujube more correctly, based on the combination of adaptive boos...

  • Feature Paper
  • Article
  • Open Access
16 Citations
6,498 Views
16 Pages

Classification of Induced Magnetic Field Signals for the Microstructural Characterization of Sigma Phase in Duplex Stainless Steels

  • Edgard M. Silva,
  • Leandro B. Marinho,
  • Pedro P. Rebouças Filho,
  • João P. Leite,
  • Josinaldo P. Leite,
  • Walter M. L. Fialho,
  • Victor Hugo C. De Albuquerque and
  • João Manuel R. S. Tavares

14 July 2016

Duplex stainless steels present excellent mechanical and corrosion resistance properties. However, when heat treated at temperatures above 600 C, the undesirable tertiary sigma phase is formed. This phase presents high hardness, around 900...

  • Article
  • Open Access
72 Citations
10,050 Views
28 Pages

On the Design of an Efficient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signals

  • Prasan Kumar Sahoo,
  • Hiren Kumar Thakkar,
  • Wen-Yen Lin,
  • Po-Cheng Chang and
  • Ming-Yih Lee

28 January 2018

Cardiovascular disease (CVD) is a major public concern and socioeconomic problem across the globe. The popular high-end cardiac health monitoring systems such as magnetic resonance imaging (MRI), computerized tomography scan (CT scan), and echocardio...

  • Article
  • Open Access
21 Citations
3,418 Views
16 Pages

The Role of 3D CT Imaging in the Accurate Diagnosis of Lung Function in Coronavirus Patients

  • Ibrahim Shawky Farahat,
  • Ahmed Sharafeldeen,
  • Mohamed Elsharkawy,
  • Ahmed Soliman,
  • Ali Mahmoud,
  • Mohammed Ghazal,
  • Fatma Taher,
  • Maha Bilal,
  • Ahmed Abdel Khalek Abdel Razek and
  • Ayman El-Baz
  • + 4 authors

Early grading of coronavirus disease 2019 (COVID-19), as well as ventilator support machines, are prime ways to help the world fight this virus and reduce the mortality rate. To reduce the burden on physicians, we developed an automatic Computer-Aide...

  • Feature Paper
  • Article
  • Open Access
11 Citations
3,732 Views
10 Pages

Segmentation of Pancreatic Subregions in Computed Tomography Images

  • Sehrish Javed,
  • Touseef Ahmad Qureshi,
  • Zengtian Deng,
  • Ashley Wachsman,
  • Yaniv Raphael,
  • Srinivas Gaddam,
  • Yibin Xie,
  • Stephen Jacob Pandol and
  • Debiao Li

The accurate segmentation of pancreatic subregions (head, body, and tail) in CT images provides an opportunity to examine the local morphological and textural changes in the pancreas. Quantifying such changes aids in understanding the spatial heterog...

  • Case Report
  • Open Access
6 Citations
2,540 Views
13 Pages

Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012

  • Kang Ma,
  • Yuesheng Lin,
  • Xiaopeng Zhang,
  • Fengman Fang,
  • Yong Zhang,
  • Jiajia Li,
  • Youru Yao,
  • Lei Ge,
  • Huarong Tan and
  • Fei Wang

This study aims to analyze the spatiotemporal distribution and evolution of digestive tract cancer (DTC) in Lujiang County, China by using the geographic information system technology. Results of this study are expected to provide a scientific basis...

  • Article
  • Open Access
61 Citations
6,912 Views
23 Pages

5 May 2022

In this paper, a layered architecture incorporating Blockchain technology (BCT) and Machine Learning (ML) is proposed in the context of the Industrial Internet-of-Things (IIoT) for smart manufacturing applications. The proposed architecture is compos...

  • Article
  • Open Access
1,152 Views
59 Pages

Background/Objectives: Vertebral degenerative features are promising but often subjectively scored indicators for adult age estimation. We evaluated an objective surface roughness metric, the “average distance to the fitted ellipse” score...

  • Article
  • Open Access
38 Citations
8,443 Views
23 Pages

Classification of Basal Stem Rot Disease in Oil Palm Plantations Using Terrestrial Laser Scanning Data and Machine Learning

  • Nur A. Husin,
  • Siti Khairunniza-Bejo,
  • Ahmad F. Abdullah,
  • Muhamad S. M. Kassim,
  • Desa Ahmad and
  • Mohd H. A. Aziz

22 October 2020

The oil palm industry is vital for the Malaysian economy. However, it is threatened by the Ganoderma boninense fungus, which causes basal stem rot (BSR) disease. Foliar symptoms of the disease include the appearance of several unopened spears, flat c...

  • Article
  • Open Access
12 Citations
6,871 Views
19 Pages

Background: Gulf War Illness (GWI) and Chronic Fatigue Syndrome (CFS) are two debilitating disorders that share similar symptoms of chronic pain, fatigue, and exertional exhaustion after exercise. Many physicians continue to believe that both are psy...

  • Article
  • Open Access
6 Citations
6,355 Views
14 Pages

13 December 2016

Human microbiome data from genomic sequencing technologies is fast accumulating, giving us insights into bacterial taxa that contribute to health and disease. The predictive modeling of such microbiota count data for the classification of human infec...

  • Article
  • Open Access
1,486 Views
13 Pages

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics

  • Herwin Speckter,
  • Marko Radulovic,
  • Erwin Lazo,
  • Giancarlo Hernandez,
  • Jose Bido,
  • Diones Rivera,
  • Luis Suazo,
  • Santiago Valenzuela,
  • Peter Stoeter and
  • Velicko Vranes

23 April 2025

Background/Objectives: Gamma knife radiosurgery (GKRS) is widely performed as an adjuvant management of patients with residual or recurrent pituitary adenoma (PA). However, the variability in the tumor volume response to GKRS emphasizes the need for...

  • Article
  • Open Access
10 Citations
3,150 Views
22 Pages

Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach

  • Ítalo de Oliveira Matias,
  • Patrícia Carneiro Genovez,
  • Sarah Barrón Torres,
  • Francisco Fábio de Araújo Ponte,
  • Anderson José Silva de Oliveira,
  • Fernando Pellon de Miranda and
  • Gil Márcio Avellino

13 November 2021

Distinguishing between natural and anthropic oil slicks is a challenging task, especially in the Gulf of Mexico, where these events can be simultaneously observed and recognized as seeps or spills. In this study, a powerful data analysis provided by...

  • Article
  • Open Access
22 Citations
7,193 Views
27 Pages

10 December 2016

Railways have been used as one of the most crucial means of transportation in public mobility and economic development. For safe railway operation, the electrification system in the railway infrastructure, which supplies electric power to trains, is...