Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.

Yu Zhang; Gongbo Liang; Nathan Jacobs; Xiaoqin Wang

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.

Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	CoRR
Volume	abs/2003.01111
State	Published - 2020

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DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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title = "Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.",

author = "Yu Zhang and Gongbo Liang and Nathan Jacobs and Xiaoqin Wang",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

language = "Undefined/Unknown",

volume = "abs/2003.01111",

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TY - JOUR

T1 - Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.

AU - Zhang, Yu

AU - Liang, Gongbo

AU - Jacobs, Nathan

AU - Wang, Xiaoqin

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

M3 - Article

VL - abs/2003.01111

JO - CoRR

JF - CoRR

ER -