Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making

Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making

This study aims to improve breast cancer (BC) diagnosis through a novel multi-resolution Vision Transformer (ViT)-based framework with ensemble decision-making, addressing limitations in traditional single-magnification models. The proposed framework uses multiscale feature extraction at three magni...

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Bibliographic Details
Main Authors: Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Tayseer Hassan A. Soliman, Dibson Gondim, Mohammed Ghazal, Norah Saleh Alghamdi, Ayman El-Baz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Breast cancer (BC)
computer-aided diagnosis (CAD)
fast-marching level set
histopathology
Vision Transformer (ViT)
whole slide images (WSI)
Online Access:https://ieeexplore.ieee.org/document/11005972/
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https://ieeexplore.ieee.org/document/11005972/

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