Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple Z-Plane Scanning.

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Title: Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple Z-Plane Scanning.
Authors: Hang JF; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; School of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Ou YC; Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan., Yang WL; AIxMed, Inc., Santa Clara, California, USA, william.yang@aixmed.com., Tsao TY; Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan., Yeh CH; AIxMed, Inc., Santa Clara, California, USA., Li CB; AIxMed, Inc., Santa Clara, California, USA., Hsu EY; AIxMed, Inc., Santa Clara, California, USA., Hung PY; AIxMed, Inc., Santa Clara, California, USA., Lin MY; AIxMed, Inc., Santa Clara, California, USA., Hwang YT; Department of Statistics, National Taipei University, Taipei, Taiwan., Liu TJ; AIxMed, Inc., Santa Clara, California, USA., Tung MC; Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan.
Source: Acta cytologica [Acta Cytol] 2024; Vol. 68 (4), pp. 342-350. Date of Electronic Publication: 2024 Apr 22.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Karger Country of Publication: Switzerland NLM ID: 0370307 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1938-2650 (Electronic) Linking ISSN: 00015547 NLM ISO Abbreviation: Acta Cytol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1938-2650
DOI:10.1159/000538985