A Systematic Review of Generalization Research in Medical Image Classification
S Matta, M Lamard, P Zhang, AL Guilcher… - arXiv preprint arXiv …, 2024 - arxiv.org
Numerous Deep Learning (DL) classification models have been developed for a large
spectrum of medical image analysis applications, which promises to reshape various facets …
spectrum of medical image analysis applications, which promises to reshape various facets …
[HTML][HTML] A systematic review of generalization research in medical image classification
S Matta, M Lamard, P Zhang, A Le Guilcher… - Computers in Biology …, 2024 - Elsevier
Abstract Numerous Deep Learning (DL) classification models have been developed for a
large spectrum of medical image analysis applications, which promises to reshape various …
large spectrum of medical image analysis applications, which promises to reshape various …
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Significant advancements in machine learning algorithms have the potential to aid in the
early detection and prevention of cancer, a devastating disease. However, traditional …
early detection and prevention of cancer, a devastating disease. However, traditional …
The Future of Cervical Cancer Screening
A Goldstein, M Gersh, G Skovronsky… - International Journal of …, 2024 - Taylor & Francis
Purpose Cervical cancer remains a significant health concern, particularly in developing
countries, where it is a leading cause of cancer-related deaths among women. Innovative …
countries, where it is a leading cause of cancer-related deaths among women. Innovative …
Data Characterization for Reliable AI in Medicine
Abstract Research in Artificial Intelligence (AI)-based medical computer vision algorithms
bear promises to improve disease screening, diagnosis, and subsequently patient care …
bear promises to improve disease screening, diagnosis, and subsequently patient care …
Automated image clarity detection for the improvement of colposcopy imaging with multiple devices
L Ekem, E Skerrett, MJ Huchko… - … Signal Processing and …, 2025 - Elsevier
The proportion of women dying from cervical cancer in middle-and low-income countries is
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
Cleaning and harmonizing medical image data for reliable AI: Lessons learned from longitudinal oral cancer natural history study data
Z Xue, T Oguguo, JY Kelly, TC Chen… - Medical Imaging …, 2024 - spiedigitallibrary.org
For deep learning-based machine learning, not only are large and sufficiently diverse data
crucial but their good qualities are equally important. However, in real-world applications, it …
crucial but their good qualities are equally important. However, in real-world applications, it …