Work

Accurate focal‐plane selection is crucial for artificial intelligence assessment of three‐dimensional urine cytology specimens for bladder cancer screening and surveillance

Year: 2026

Type: article

Source: Cancer Cytopathology

DOI: 10.1002/cncy.70117

Authors: Yoseph Sayegh, Brody McNutt, Minh‐Khang Le, I‐Chuang Liao, Keluo Yao, Camille Ng, Ahmad Kohsar, Daniel Shou, Michael Yu, YinXian Jin, Louis J. Vaickus, Xiaoying Liu, Christopher J. VandenBussche, Samuel E. Harvey, Joshua J. Levy

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Johns Hopkins Hospital, Cedars-Sinai Medical Center, Dartmouth–Hitchcock Medical Center

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Cancer Institute

OpenAlex ID: W7166358110

FWCI:

Cites: 55

Cited by:

Related to: