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Abstract 7443: Feasibility of automatic spleen volumetry from 3D ultrasound images of mice using deep learning

Year: 2025

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2025-7443

Authors: Adam M. Aji, Thomas M. Kierski, Juan D. Rojas, Bincy John, David Harris, Ryan C. Gessner, Craig McMannus, Jeffrey Peterson, Tomasz J. Czernuszewicz

Institution: Charles River Laboratories (United States)

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409630520

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