Patch-Based Convolutional Neural Networks for TCGA-BRCA Breast Cancer Classification

Rosiel Jazmine T. Villareal, Patricia Angela R. Abu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 16th International Symposium, ISVC 2021, Proceedings
EditorsGeorge Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder
PublisherSpringer Science and Business Media Deutschland GmbH
Pages29-40
Number of pages12
ISBN (Print)9783030904357
DOIs
StatePublished - 2021
Event16th International Symposium on Visual Computing, ISVC 2021 - Virtual Online
Duration: Oct 4 2021Oct 6 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13018 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Symposium on Visual Computing, ISVC 2021
CityVirtual Online
Period10/4/2110/6/21

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Breast cancer classification
  • Computer vision
  • Convolutional neural networks

Fingerprint

Dive into the research topics of 'Patch-Based Convolutional Neural Networks for TCGA-BRCA Breast Cancer Classification'. Together they form a unique fingerprint.

Cite this