Work

Deep Small Bowel Segmentation with Cylindrical Topological Constraints

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-59719-1_21

Authors: Seung Yeon Shin, Sungwon Lee, Daniel Elton, James L. Gulley, Ronald M. Summers

Institutions: National Institutes of Health, National Institutes of Health Clinical Center, National Cancer Institute, Center for Cancer Research

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Institutes of Health

Award: G9000162246

OpenAlex ID: W3092411102

FWCI: 1.388

Cites: 11

Cited by: 31

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