📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-17266-3_11

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85140476882

Type: Book Chapter

Book Title: Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (2022)

Page Reference: 110-120