Brain tumor segmentation with Deep Neural Networks (2015-05-13T00:00:00.000000Z)

TL;DR

A fast and accurate fully automatic method for brain tumor segmentation which is competitive both in terms of accuracy and speed compared to the state of the art, and introduces a novel cascaded architecture that allows the system to more accurately model local label dependencies.

Authors

H. Larochelle

18 papers

C. Pal

17 papers

Yoshua Bengio

69 papers

Aaron C. Courville

35 papers

David Warde-Farley

4 papers

Pierre-Marc Jodoin

2 papers

Axel Davy

3 papers

Mohammad Havaei

2 papers

A. Biard

1 papers

TL;DR

Authors

References52 items

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To segment a brain, our method takes between 25 seconds and 3 minutes, which is one order of magnitude faster than most state-of-the-art methods

We propose a fully automatic method with results currently ranked second on the

Field of Study

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