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Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective
  Clinical Evaluation

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation

6 September 2019
B. Shirokikh
A. Dalechina
A. Shevtsov
Egor Krivov
V. Kostjuchenko
A. Durgaryan
M. Galkin
I. Osinov
A. Golanov
Mikhail Belyaev
    3DV
ArXivPDFHTML

Papers citing "Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation"

2 / 2 papers shown
Title
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
130
1,628
0
05 Nov 2018
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
130
3,053
0
18 Mar 2016
1