NiftyNet: a deep-learning platform for medical imaging

2018547 citationsJournal Articlehybrid Open Access

Authors

Eli Gibson · Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Wenqi Li · Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Carole H. Sudre · University College London

Lucas Fidon · Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Dzhoshkun I. Shakir · Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Guotai Wang · Wellcome / EPSRC Centre for Interventional and Surgical Sciences

Abstract

The NiftyNet infrastructure enables researchers to rapidly develop and distribute deep learning solutions for segmentation, regression, image generation and representation learning applications, or extend the platform to new applications.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Medical Image Segmentation Techniques AI in cancer detection

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: Computer Methods and Programs in Biomedicine

Volume 158, pp. 113-122

DOI: 10.1016/j.cmpb.2018.01.025

Field-Weighted Citation Impact: 63.56