SpineNet: Automated classification and evidence visualization in spinal MRIs

Author:

Jamaludin Amir,Kadir Timor,Zisserman Andrew

Funder

RCUK

EPSRC

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

Reference24 articles.

1. Return of the devil in the details: delving deep into convolutional nets;Chatfield,2014

2. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

3. Computer-aided diagnosis for lumbar mri using heterogeneous classifiers;Ghosh,2011

4. Understanding the difficulty of training deep feedforward neural networks;Glorot,2010

5. Automatic modic changes classication in spinal MRI;Jamaludin,2015

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