Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration.
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| Title: | Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration. |
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| Authors: | Liang CW; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, 24205, Taiwan.; Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, 24352, Taiwan., Lee YC; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua, 500207, Taiwan., Hsu YY; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, 24205, Taiwan., Luo PW; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua, 500207, Taiwan., Huang GL; Department of Mathematics, National Changhua University of Education, Changhua, 500207, Taiwan., Chen CM; Department of Mathematics, National Changhua University of Education, Changhua, 500207, Taiwan. cmchen@cc.ncue.edu.tw. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1651-1665. Date of Electronic Publication: 2025 Jun 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2948-2933 |
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| DOI: | 10.1007/s10278-025-01582-8 |
