Evaluations of Semi-supervised Methods for Hepatocellular Carcinoma Segmentation from Pathological Images

Chien Yu Chiou*, Tsung Han Tsai, Pau Choo Chung, Chun Rong Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Early diagnosing hepatocellular carcinoma (HCC) helps reduce the mortality. In this paper, we apply and compare semi-supervised segmentation methods to solve the HCC segmentation problem of pathological whole slide images. We show that the performance of the semi-supervised methods can even outperform supervised methods for HCC segmentation.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-325
Number of pages2
ISBN (Electronic)9798350339840
DOIs
StatePublished - 2023
Event2023 IEEE Conference on Artificial Intelligence, CAI 2023 - Santa Clara, United States
Duration: 5 Jun 20236 Jun 2023

Publication series

NameProceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Conference

Conference2023 IEEE Conference on Artificial Intelligence, CAI 2023
Country/TerritoryUnited States
CitySanta Clara
Period5/06/236/06/23

Keywords

  • Hepatocellular Carcinoma
  • Pathological Image Analysis
  • Semi-supervised Segmentation

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