Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation-Reference-Cited by-同舟云学术

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

Published:2018-02 Issue: Volume:44 Page:228-244
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Pereira Sérgio,Meier Raphael,McKinley Richard,Wiest Roland,Alves Victor,Silva Carlos A.,Reyes Mauricio

Funder

Fundação para a Ciência e Tecnologia (FCT), Portugal

FCT

FEDER

COMPETE 2020 Programa Operacional Competitividade e Internacionalização

European Unions Seventh Framework Programme for research, technological development and demonstration

Swiss National Science Foundation

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

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