Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher–student models

Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher–student models

Breast cancer is a significant global health concern, emphasizing the crucial need for a timely and accurate diagnosis to enhance survival rates. Traditional diagnostic methods rely on pathologists analyzing whole-slide images (WSIs) to identify and diagnose malignancies. However, this task is compl...

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Bibliographic Details
Main Authors: Bhavannarayanna Kolla, Venugopal P
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
teacher model
student model
Swin-transformers
transfer learning
knowledge distillation
breast cancer histopathology
Online Access:https://doi.org/10.1088/2632-2153/ad10cc

Internet

https://doi.org/10.1088/2632-2153/ad10cc

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