Work

DeepMedic for Brain Tumor Segmentation

Year: 2016

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-55524-9_14

Authors: Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker

Institutions: Microsoft Research (United Kingdom), Imperial College London

Language: English

Topic: Brain Tumor Detection and Classification

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: QuantifyTBI: A Machine Learning Approach to Automatic Segmentation and Quantification of Lesions in Traumatic Brain Injury Imaging

OpenAlex ID: W2595668780

FWCI: 7.351

Cites: 24

Cited by: 348

Related to: 10