Beyond Fine-tuning: Classifying High Resolution Mammograms using
Function-Preserving Transformations

Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations

20 January 2021

Angelica I Aviles-Rivero

Shuo Wang

Carola-Bibiane Schönlieb

Papers citing "Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations"

5 / 5 papers shown

Title
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 53 168 0 13 Feb 2020
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 35 494 0 20 Mar 2019
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 144 1,319 0 23 May 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Ivo M. Baltruschat H. Nickisch M. Grass T. Knopp A. Saalbach 54 382 0 06 Mar 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 71 2,691 0 14 Nov 2017