Work

Comparison of segmentation methods to improve throughput in annotating AI-observer for detecting colorectal cancer.

Year: 2022

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2022.40.4_suppl.142

Authors: Brandon Salinel, Matthew Grudza, Sarah Zeien, Matthew Murphy, Jake Adkins, Corey Jensen, Curt Bay, Vikram Kodibagkar, Phillip Koo, Tomislav Dragovich, Michael A. Choti, Madappa N. Kundranda, Hongzhi Wang, Tanveer Syeda-Mahmood, John Chang

Institutions: Banner MD Anderson Cancer Center, Arizona State University, A.T. Still University, The University of Texas MD Anderson Cancer Center, The University of Texas Southwestern Medical Center, IBM Research - Almaden

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: W4205383701

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