Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer-Reference-Cited by-同舟云学术

Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer

Published:2019-03-29 Issue:7 Volume:64 Page:075011
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Chen Liyuan,Zhou Zhiguo,Sher David,Zhang Qiongwen,Shah Jennifer,Pham Nhat-Long,Jiang Steve,Wang Jing

Funder

American Cancer Society

US National Institutes of Health

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/ab083a/pdf

Reference41 articles.

1. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

2. Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

3. Head and neck cancer

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