Work

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model

Year: 2011

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-23626-6_67

Authors: Ahmed B. Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael Feldman, Mark Rosen, Despina Kontos

Institution: University of Pennsylvania

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: bronze

Funder: National Cancer Institute

Award: G1403651065

OpenAlex ID: W1772408293

FWCI: 0.957

Cites: 7

Cited by: 10

Related to: 10