Work

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI

Year: 2016

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-46723-8_68

Authors: Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz

Institutions: Imperial College London, King's College London

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

Funder: Engineering and Physical Sciences Research Council

Award: Exploration of machine learning for pre-emptive scheduling in single-instruction multiple-data mega-kernel designs

OpenAlex ID: W2476575773

FWCI: 3.154

Cites: 11

Cited by: 83

Related to: 10