Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks-Reference-Cited by-同舟云学术

Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks

Author:

Liu Peng¹^ORCID,Zhang Miao²,Gao Xiaoru¹,Li Biao²,Zheng Guoyan¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

2. Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Funder

Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

National Key Research and Development Program of China

Medical and Engineering Cross Research Foundation of Shanghai Jiao Tong University

Shanghai Municipal Key Clinical Specialty

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference42 articles.

1. Multi-task learning for left atrial segmentation on GE-MRI;chen;Proc Int Workshop Stat Atlases Comput Models Heart,2018

4. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

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