A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes.
- DOI
- 10.1007/s10278-026-01983-3
- Published
- 2026 May 18
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-01983-3,
title = {A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes.},
author = {Yang TH and Chiu WT and Chu YH and Hong HT and Liu CW and Chang LY and Hung HC and Dai WC and Chen YL and Lim SY and Chuang YC and Huang W and Liu T},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-01983-3},
url = {https://doi.org/10.1007/s10278-026-01983-3}
}RIS
TY - JOUR TI - A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes. AU - Yang TH AU - Chiu WT AU - Chu YH AU - Hong HT AU - Liu CW AU - Chang LY AU - Hung HC AU - Dai WC AU - Chen YL AU - Lim SY AU - Chuang YC AU - Huang W AU - Liu T PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-01983-3 UR - https://doi.org/10.1007/s10278-026-01983-3 ER -
APA
TH, Y., WT, C., YH, C., HT, H., CW, L., LY, C., HC, H., WC, D., YL, C., SY, L., YC, C., W, H., & T, L. (2026). A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-01983-3
Source records
- pubmed · retrieved 2026-09-25T23:46:18.179Z