MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images-Reference-Cited by-同舟云学术

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images

Published:2022-07 Issue: Volume:79 Page:102423
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Yue Hailin,Liu Jin,Li Junjian^ORCID,Kuang Hulin^ORCID,Lang Jinyi,Cheng Jianhong,Peng Lin,Han Yongtao,Bai Harrison^ORCID,Wang Yuping,Wang Qifeng,Wang Jianxin^ORCID

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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