Generalising multistain immunohistochemistry tissue segmentation using end‐to‐end colour deconvolution deep neural networks

Author:

Lahiani Amal12,Gildenblat Jacob3,Klaman Irina1,Navab Nassir2,Klaiman Eldad1

Affiliation:

1. Pathology and Tissue Analytics, Pharma Research and Early Development, Roche Innovation Center MunichPenzbergGermany

2. Computer Aided Medical Procedures, Technische Universität MünchenGermany

3. DeePathology Ltd.Israel

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference63 articles.

1. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

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3. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

4. 2016 Medical Image Computing and Computer‐Assisted Intervention (MICCAI) Athens Greece M. Havaei N. Guizard N. Chapados HeMIS: hetero‐modal image segmentation 469 477

5. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

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