Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information

Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu Wei Huang, Yi Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B.L. Duh, Yu Pin Chen

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

5 Citations (Scopus)

Abstract

Sarcopenia is a condition of age-associated muscle degeneration that shortens the life expectancy in those it affects, compared to individuals with normal muscle strength. Accurate screening for sarcopenia is a key process of clinical diagnosis and therapy. In this work, we propose a novel multi-modality contrastive learning (MM-CL) based method that combines hip X-ray images and clinical parameters for sarcopenia screening. Our method captures the long-range information with Non-local CAM Enhancement, explores the correlations in visual-text features via Visual-text Feature Fusion, and improves the model’s feature representation ability through Auxiliary contrastive representation. Furthermore, we establish a large in-house dataset with 1,176 patients to validate the effectiveness of multi-modality based methods. Significant performances with an AUC of 84.64%, ACC of 79.93%, F1 of 74.88%, SEN of 72.06%, SPC of 86.06%, and PRE of 78.44%, show that our method outperforms other single-modality and multi-modality based methods.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings
EditorsHayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
PublisherSpringer Science and Business Media Deutschland GmbH
Pages85-94
Number of pages10
ISBN (Print)9783031439865
DOIs
Publication statusPublished - 2023
Event26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 - Vancouver, Canada
Duration: Oct 8 2023Oct 12 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14225 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023
Country/TerritoryCanada
CityVancouver
Period10/8/2310/12/23

Keywords

  • Contrastive learning
  • Multi-modality feature fusion
  • Sarcopenia screening

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information'. Together they form a unique fingerprint.

Cite this