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[HTML][HTML] An Empirical Evaluation of Neural Network Architectures for 3D Spheroid Segmentation
The accurate segmentation of 3D spheroids is crucial in advancing biomedical research,
particularly in understanding tumor development and testing therapeutic responses. As 3D …
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 …
technology possesses the ability to autonomously analyze images, allowing constructed …
Ultrasound Images Classification of Thyroid Cancer using Deep Transfer Learning
The application of computer-aided diagnosis (CAD) systems in ultrasound (US) image
analysis using maching learning (ML) has been widely explored. Recently, deep learning …
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 …
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 …
(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 …
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 …
requiring extensive labeled datasets for training traditional machine learning models. This …