Predicting treatment response from longitudinal images using multi-task deep learning

Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Here, the authors present a multi-task deep learning approach that allows simultaneous tumor segmentation and response prediction from longitudinal images in a multi-center study on rectal cancer.

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Autores principales:	Cheng Jin, Heng Yu, Jia Ke, Peirong Ding, Yongju Yi, Xiaofeng Jiang, Xin Duan, Jinghua Tang, Daniel T. Chang, Xiaojian Wu, Feng Gao, Ruijiang Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e3a87f083cd34359a4b0305fc498f5af
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spelling	oai:doaj.org-article:e3a87f083cd34359a4b0305fc498f5af2021-12-02T17:04:01ZPredicting treatment response from longitudinal images using multi-task deep learning10.1038/s41467-021-22188-y2041-1723https://doaj.org/article/e3a87f083cd34359a4b0305fc498f5af2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22188-yhttps://doaj.org/toc/2041-1723Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Here, the authors present a multi-task deep learning approach that allows simultaneous tumor segmentation and response prediction from longitudinal images in a multi-center study on rectal cancer.Cheng JinHeng YuJia KePeirong DingYongju YiXiaofeng JiangXin DuanJinghua TangDaniel T. ChangXiaojian WuFeng GaoRuijiang LiNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Cheng Jin Heng Yu Jia Ke Peirong Ding Yongju Yi Xiaofeng Jiang Xin Duan Jinghua Tang Daniel T. Chang Xiaojian Wu Feng Gao Ruijiang Li Predicting treatment response from longitudinal images using multi-task deep learning
description	Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Here, the authors present a multi-task deep learning approach that allows simultaneous tumor segmentation and response prediction from longitudinal images in a multi-center study on rectal cancer.
format	article
author	Cheng Jin Heng Yu Jia Ke Peirong Ding Yongju Yi Xiaofeng Jiang Xin Duan Jinghua Tang Daniel T. Chang Xiaojian Wu Feng Gao Ruijiang Li
author_facet	Cheng Jin Heng Yu Jia Ke Peirong Ding Yongju Yi Xiaofeng Jiang Xin Duan Jinghua Tang Daniel T. Chang Xiaojian Wu Feng Gao Ruijiang Li
author_sort	Cheng Jin
title	Predicting treatment response from longitudinal images using multi-task deep learning
title_short	Predicting treatment response from longitudinal images using multi-task deep learning
title_full	Predicting treatment response from longitudinal images using multi-task deep learning
title_fullStr	Predicting treatment response from longitudinal images using multi-task deep learning
title_full_unstemmed	Predicting treatment response from longitudinal images using multi-task deep learning
title_sort	predicting treatment response from longitudinal images using multi-task deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e3a87f083cd34359a4b0305fc498f5af
work_keys_str_mv	AT chengjin predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT hengyu predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT jiake predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT peirongding predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT yongjuyi predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT xiaofengjiang predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT xinduan predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT jinghuatang predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT danieltchang predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT xiaojianwu predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT fenggao predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning AT ruijiangli predictingtreatmentresponsefromlongitudinalimagesusingmultitaskdeeplearning
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Predicting treatment response from longitudinal images using multi-task deep learning

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