SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation

Hien Quang Kha, Minh Huu Nhat Le, Lam Huu Phuc Nguyen, Minh Nguyen Tuan Tran, Linh My Nguyen, Hung Quay Thong, Nguyen Quoc Khanh Le

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

Abstract

The automated segmentation of leukocytes plays a vital role in diagnosing and monitoring life-threatening conditions such as leukemia and lymphoma. However, this task encounters challenges due to the limited availability and quality of public datasets. To effectively utilize the limited dataset, it is necessary to develop a semi-supervised learning framework. In this regard, we propose a holistic self-training framework called Self-training using In-turn Supervised-Unsupervised training (SISU). Our framework encompasses two key components. Firstly, we introduce Feature Perturbed Cross-View Co-Training, which incorporates dual feature perturbation methods and utilizes two auxiliary decoders to enhance the robustness of the feature representation. Secondly, drawing inspiration from FixMatch, we integrate a regularization mechanism via weak-to-strong consistency training to further enhance the self-training framework. Finally, we conduct training and evaluation of SISU for semi-supervised learning on three datasets (Zheng 1, Zheng 2, and LISC), achieving remarkable mIOU scores of up to 93.54%, 88.92%, and 77.02% respectively across multiple settings within the self-training scheme.

Original languageEnglish
Title of host publicationTrustworthy Artificial Intelligence for Healthcare - 2nd International Workshop, TAI4H 2024, Proceedings
EditorsHao Chen, Yuyin Zhou, Daguang Xu, Varut Vince Vardhanabhuti
PublisherSpringer Science and Business Media Deutschland GmbH
Pages134-144
Number of pages11
ISBN (Print)9783031677502
DOIs
Publication statusPublished - 2024
Event2nd International Workshop on Trustworthy Artificial Intelligence for Healthcare, TAI4H 2024 - Jeju, Korea, Republic of
Duration: Aug 4 2024Aug 4 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Trustworthy Artificial Intelligence for Healthcare, TAI4H 2024
Country/TerritoryKorea, Republic of
CityJeju
Period8/4/248/4/24

Keywords

  • Consistency Regularization
  • FixMatch
  • Leukemia
  • Lymphoma
  • Semi-supervised learning
  • White blood cell

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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