IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

23 March 2021

Papers citing "IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography"

4 / 54 papers shown

Title
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 8 21 0 20 Jul 2021
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization M. Afnan Cynthia Rudin Vincent Conitzer J. Savulescu Abhishek Mishra Yanhe Liu M. Afnan SyDa 8 17 0 30 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 29 635 0 20 Mar 2021
A data augmentation methodology for training machine/deep learning gait recognition algorithms Christoforos C. Charalambous Anil A. Bharath CVBM 26 43 0 24 Oct 2016