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System

Breast Cancer Histology Image Classification

Metrics

Accuracy (%)

Results

Performance results of various models on this benchmark

Model Name	Accuracy (%)	Paper Title	Repository
WaveMix	99.39	Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
EfficientNet-b2	-	Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
WaveMixLite-224/10	91.72	Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers	-
Breast-NET	98.11	Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samples
VGGIN-Net	96.15	VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset

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