Dynamic model scaling based on segmented tumor size for breast cancer detection

Dynamic model scaling based on segmented tumor size for breast cancer detection

<p>The accuracy of breast cancer detection in histopathology images presents a critical challenge and remains a central focus in advancements in computational pathology. Scaling Convolutional Neural Networks (CNNs) can improve feature extraction, especially in multi-class problems that require...

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Bibliographic Details
Main Author: Younes Akbari (16303286) (author)
Other Authors: Faseela Abdullakutty (22564814) (author), Somaya Al-Maadeed (5178131) (author), Ahmed Bouridane (2270131) (author), Rifat Hamoudi (523339) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Histopathology image
Breast cancer image segmentation and classification
Model scaling
Conditional diffusion probabilistic model
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