Work

Segmentation of heterogeneous blob objects through voting and level set formulation

Year: 2007

Type: article

Source: Pattern Recognition Letters

DOI: 10.1016/j.patrec.2007.05.008

Authors: Hang Chang, Qing Yang, Bahram Parvin

Institution: Lawrence Berkeley National Laboratory

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 Cancer Institute

Award: Model-based predictions of responses RTK Pathway therapies

OpenAlex ID: W2164578359

FWCI: 5.684

Cites: 13

Cited by: 44

Related to: 10