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6 Results Found

  • Article
  • Open Access
24 Citations
6,098 Views
24 Pages

26 February 2022

Sea ice monitoring plays a vital role in secure navigation and offshore activities. Synthetic aperture radar (SAR) has been widely used as an effective tool for sea ice remote sensing (e.g., ice type classification, concentration and thickness retrie...

(This article belongs to the Special Issue New Developments in Remote Sensing for the Environment)
  • Article
  • Open Access
12 Citations
2,026 Views
22 Pages

Category-Aware Two-Stage Divide-and-Ensemble Framework for Sperm Morphology Classification

  • Aydın Kağan Turkoglu,
  • Gorkem Serbes,
  • Hakkı Uzun,
  • Abdulsamet Aktas and ,
  • Merve Huner Yigit and
  • Hamza Osman Ilhan
  • + 1 author+ 0 author

3 September 2025

Introduction: Sperm morphology is a fundamental parameter in the evaluation of male infertility, offering critical insights into reproductive health. However, traditional manual assessments under microscopy are limited by operator dependency and subj...

(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
  • Article
  • Open Access
4 Citations
1,113 Views
19 Pages

Background/Objectives: Glaucoma is a leading cause of irreversible blindness worldwide, making accurate and efficient detection methods essential. One primary concern with glaucoma is that it often presents no early symptoms. Vision loss typically be...

(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
  • Article
  • Open Access
2 Citations
1,220 Views
23 Pages

A Two-Stage EEG Microstate Fusion Framework for Dementia Screening and Alzheimer’s Disease/Frontotemporal Dementia Differentiation

  • Lei Jiang,
  • Yingna Chen,
  • Yan He,
  • Jiarui Liang and ,
  • Xuan Zhao and
  • Xiuyan Guo
  • + 1 author+ 0 author

Differentiating Alzheimer’s disease (AD) from frontotemporal dementia (FTD) using resting-state electroencephalography (EEG) remains clinically challenging because of their overlapping electrophysiological characteristics. Although EEG suits la...

(This article belongs to the Special Issue Applications of AI in Non-Invasive Biosensing Technologies)
  • Article
  • Open Access
4 Citations
3,918 Views
22 Pages

An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting

  • Peng Zhang,
  • Weimin Lei,
  • Xinlei Zhao,
  • Lijia Dong and
  • Zhaonan Lin

11 September 2023

Crowd counting, as a basic computer vision task, plays an important role in many fields such as video surveillance, accident prediction, public security, and intelligent transportation. At present, crowd counting tasks face various challenges. Firstl...

(This article belongs to the Section Sensor Networks)
  • Article
  • Open Access
165 Citations
11,743 Views
23 Pages

COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

  • Shamima Akter,
  • F. M. Javed Mehedi Shamrat,
  • Sovon Chakraborty,
  • Asif Karim and
  • Sami Azam

13 November 2021

COVID-19, regarded as the deadliest virus of the 21st century, has claimed the lives of millions of people around the globe in less than two years. Since the virus initially affects the lungs of patients, X-ray imaging of the chest is helpful for eff...

(This article belongs to the Section Bioinformatics)