What is the state-of-the-art performance of deep learning algorithms for breast cancer detection? We are using deep learning (CNN) and we feel we have achieved some thing better (> 95%), but we are currently investigating further. What is currently the best model and how much accuracy it has achieved?
Hard to answer. There are really many papers available. In addition:
Preprint Signed Laplacian Deep Learning with Adversarial Augmentation...
Article Artificial Intelligence–Based Breast Cancer Nodal Metastasis...
https://www.eurekalert.org/pub_releases/2018-06/nyu-mlh060618.php
Preprint Deep learning assessment of breast terminal duct lobular uni...
Preprint Deep Learning for Automated Medical Image Analysis
https://www.engadget.com/2019/05/07/mit-ai-model-breast-cancer/
https://arxiv.org/abs/1909.03354
https://www.eurekalert.org/pub_releases/2019-07/uosc-rs071219.php
Preprint BIRADS Features-Oriented Semi-supervised Deep Learning for B...
Preprint Automatic Mass Detection in Breast Using Deep Convolutional ...
Preprint Breast Tumor Classification and Segmentation using Convoluti...
Preprint Breast Cancer Diagnosis with Transfer Learning and Global Pooling
Regards,
Joachim
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