[HTML][HTML] An Empirical Evaluation of Neural Network Architectures for 3D Spheroid Segmentation

F Oudouar, A Bir-Jmel, H Grissette, SM Douiri… - Computers, 2025 - mdpi.com
The accurate segmentation of 3D spheroids is crucial in advancing biomedical research,
particularly in understanding tumor development and testing therapeutic responses. As 3D …

[HTML][HTML] Detection of high-risk diseases in poultry feces through transfer learning

A Tasdelen, Y Arslan - … Science and Technology, an International Journal, 2025 - Elsevier
Poultry farming industry constitutes a significant part of the global economy. Deep learning
technology possesses the ability to autonomously analyze images, allowing constructed …

Ultrasound Images Classification of Thyroid Cancer using Deep Transfer Learning

Y Habchi, H Kheddar, Y Himeur - … International Conference on …, 2024 - ieeexplore.ieee.org
The application of computer-aided diagnosis (CAD) systems in ultrasound (US) image
analysis using maching learning (ML) has been widely explored. Recently, deep learning …

Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention

B Essaid, H Kheddar, N Batel - 2024 International Conference …, 2024 - ieeexplore.ieee.org
Cochlear implants (CIs) play a vital role in restoring hearing for individuals with severe to
profound sensorineural hearing loss by directly stimulating the auditory nerve with electrical …

Deep learning-based prediction of electrodograms for cochlear implants using the ACE strategy

B Essaid, N Batel - Studies in Engineering and Exact …, 2024 - ojs.studiespublicacoes.com.br
Cochlear implants (CIs) rely on coding strategies like the advanced combination encoder
(ACE) to process auditory signals, but these methods face limitations in accurately …

[PDF][PDF] Evaluating the Efficacy of Transfer Learning in Radiographic Image Analysis for Lung Diseases

X Wang, J Liu, H Chen, L Li, Z Yang, M Zhang - researchgate.net
In the realm of medical imaging, transfer learning has emerged as a promising technique,
particularly in the analysis of radiographic images for lung diseases. This study meticulously …

[PDF][PDF] Enhancing Lung Disease Diagnosis Using Transfer Learning Techniques

W Chen, X Zhang, H Sun, L Zhao, YLJ Wang - researchgate.net
The diagnosis of lung diseases remains a critical challenge in medical practice, often
requiring extensive labeled datasets for training traditional machine learning models. This …