Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations

Author:

Wei Tao,Aviles-Rivero Angelica I.,Wang ShuoORCID,Huang YuanORCID,Gilbert Fiona J.ORCID,Schönlieb Carola-Bibiane,Chen Chang Wen

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

1. Automatic mass detection in mammograms using deep convolutional neural networks;Agarwal;J. Med. Imaging,2019

2. A region based convolutional network for tumor detection and classification in breast mammography;Akselrod-Ballin,2016

3. GraphXNET - Chest X-Ray classification under extreme minimal supervision;Aviles-Rivero,2019

4. Comparison of deep learning approaches for multi-label chest X-ray classification;Baltruschat;Sci. Rep.,2019

5. Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer;Becker;Investig. Radiol.,2017

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