Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Breast Cancer Histology Image Classification

Metrics

Accuracy (%)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
WaveMix	99.39	Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
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	-
WaveMixLite-224/10	91.72	Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers	-
EfficientNet-b2	-	Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

0 of 5 row(s) selected.

Breast Cancer Histology Image Classification | SOTA | HyperAI