A Deep Learning Pipeline for per-Fraction Automatic Segmentation of GTV and OAR in cervical cancer

Journal article

A.L Breto, O Zavala-Romero, D Asher, J.B Baikovitz, J Ford, R Stoyanova and L Portelance

International journal of radiation oncology, biology, physics, Vol.105(1), pp.S202-S202

2019-09

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Citation topics: 1 Clinical & Life Sciences; 1.147 Prostate Cancer; 1.147.289 IMRT
Web Of Science research areas: Oncology; Radiology, Nuclear Medicine & Medical Imaging
ESI research areas: Clinical Medicine

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Title: A Deep Learning Pipeline for per-Fraction Automatic Segmentation of GTV and OAR in cervical cancer
Creators: A.L Breto
O Zavala-Romero
D Asher
J.B Baikovitz
J Ford
R Stoyanova
L Portelance
Publication Details: International journal of radiation oncology, biology, physics, Vol.105(1), pp.S202-S202
Academic Unit: Miller School of Medicine; UMMG Dept of Radiation Oncology
Language: English
Resource Type: Journal article
Record Identifier: 991031600199902976