Work

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

Year: 2024

Type: conference-paper

Source: SPIE Medical Imaging: Ultrasonic Imaging and Tomography

DOI: 10.1117/12.3008819

Authors: Hassan Jahanandish, Sulaiman Vesal, Indrani Bhattacharya, Xinran Li, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

Institution: Stanford University

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

OpenAlex ID: W4393371963

FWCI: 0.589

Cites: 14

Cited by: 2

Related to: 10