Work

Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)

Year: 2024

Type: article

Source: Journal of Imaging Informatics in Medicine

DOI: 10.1007/s10278-024-01092-z

Authors: Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III

Institutions: University of Chicago, Metro-Minnesota Community Oncology Research Consortium, Duke University, Duke Cancer Institute

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: green

Funders: National Institutes of Health, National Cancer Institute, Comprehensive Cancer Center, University of Chicago Medical Center

Awards: Alliance Statistics and Data Management Center, Northwestern University Lead Academic Participating Site, NCI National Clinical Trials Network (UG1), Metro-Minnesota Community Oncology Research Consortium (MMCORC), Alliance for Clinical Trials in Oncology Operations Center

OpenAlex ID: W4402478430

FWCI: 0.638

Cites: 32

Cited by: 5

Related to: 10