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9 Results Found

  • Article
  • Open Access
13 Citations
8,132 Views
32 Pages

Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach

  • Mustafa Youldash,
  • Atta Rahman,
  • Manar Alsayed,
  • Abrar Sebiany,
  • Joury Alzayat,
  • Noor Aljishi,
  • Ghaida Alshammari and
  • Mona Alqahtani

29 November 2024

Background—Diabetes is a rapidly spreading chronic disease that poses a significant risk to individual health as the population grows. This increase is largely attributed to busy lifestyles, unhealthy eating habits, and a lack of awareness abou...

  • Article
  • Open Access
13 Citations
2,514 Views
19 Pages

7 June 2024

The instance segmentation model based on deep learning has addressed the challenges in intelligently detecting water leakage in shield tunneling. Due to the limited generalization ability of the baseline model, occurrences of missed detections, false...

  • Article
  • Open Access
18 Citations
3,282 Views
15 Pages

Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture

  • Mohamed Chetoui,
  • Moulay A. Akhloufi,
  • El Mostafa Bouattane,
  • Joseph Abdulnour,
  • Stephane Roux and
  • Chantal D’Aoust Bernard

6 June 2023

COVID-19,which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the worst pandemics in recent history. The identification of patients suspected to be infected with COVID-19 is becoming crucial to reduce its spr...

  • Article
  • Open Access
11 Citations
3,284 Views
23 Pages

Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning

  • Ali Mousavi,
  • Raziyeh Pourdarbani,
  • Sajad Sabzi,
  • Dorrin Sotoudeh,
  • Mehrab Moradzadeh,
  • Ginés García-Mateos,
  • Shohreh Kasaei and
  • Mohammad H. Rohban

Pomegranate is a temperature-sensitive fruit during postharvest storage. If exposed to cold temperatures above its freezing point for a long time, it will suffer from cold stress. Failure to pay attention to the symptoms that may occur during storage...

  • Article
  • Open Access
3 Citations
947 Views
20 Pages

Copper Stress Levels Classification in Oilseed Rape Using Deep Residual Networks and Hyperspectral False-Color Images

  • Yifei Peng,
  • Jun Sun,
  • Zhentao Cai,
  • Lei Shi,
  • Xiaohong Wu,
  • Chunxia Dai and
  • Yubin Xie

In recent years, heavy metal contamination in agricultural products has become a growing concern in the field of food safety. Copper (Cu) stress in crops not only leads to significant reductions in both yield and quality but also poses potential heal...

  • Article
  • Open Access
1 Citations
1,299 Views
27 Pages

Assessing ResNeXt and RegNet Models for Diabetic Retinopathy Classification: A Comprehensive Comparative Study

  • Samara Acosta-Jiménez,
  • Valeria Maeda-Gutiérrez,
  • Carlos E. Galván-Tejada,
  • Miguel M. Mendoza-Mendoza,
  • Luis C. Reveles-Gómez,
  • José M. Celaya-Padilla,
  • Jorge I. Galván-Tejada and
  • Antonio García-Domínguez

Background/Objectives: Diabetic retinopathy is a leading cause of vision impairment worldwide, and the development of reliable automated classification systems is crucial for early diagnosis and clinical decision-making. This study presents a compreh...

  • Article
  • Open Access
116 Citations
30,484 Views
30 Pages

Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models

  • Fırat Hardalaç,
  • Fatih Uysal,
  • Ozan Peker,
  • Murat Çiçeklidağ,
  • Tolga Tolunay,
  • Nil Tokgöz,
  • Uğurhan Kutbay,
  • Boran Demirciler and
  • Fatih Mert

8 February 2022

Hospitals, especially their emergency services, receive a high number of wrist fracture cases. For correct diagnosis and proper treatment of these, images obtained from various medical equipment must be viewed by physicians, along with the patient&rs...

  • Article
  • Open Access
5 Citations
1,425 Views
28 Pages

Advancing Prostate Cancer Diagnostics: A ConvNeXt Approach to Multi-Class Classification in Underrepresented Populations

  • Declan Ikechukwu Emegano,
  • Mubarak Taiwo Mustapha,
  • Ilker Ozsahin,
  • Dilber Uzun Ozsahin and
  • Berna Uzun

Prostate cancer is a leading cause of cancer-related morbidity and mortality worldwide, with diagnostic challenges magnified in underrepresented regions like sub-Saharan Africa. This study introduces a novel application of ConvNeXt, an advanced convo...

  • Article
  • Open Access
1 Citations
1,654 Views
22 Pages

Deep Learning-Powered Down Syndrome Detection Using Facial Images

  • Mujeeb Ahmed Shaikh,
  • Hazim Saleh Al-Rawashdeh and
  • Abdul Rahaman Wahab Sait

27 August 2025

Down syndrome (DS) is one of the prevalent chromosomal disorders, representing distinctive craniofacial features and a range of developmental and medical challenges. Due to the lack of clinical expertise and high infrastructure costs, access to genet...