Reswave-Net: A wavelet based Residual U-Net for Brain Tumour Segmentation and Overall Survival Prediction
Author:
Affiliation:
1. College of Engineering,Computer Vision Lab,Trivandrum,Kerala
2. Government Engineering College,Idukki,Kerala
3. Rajiv Gandhi Institute of Technology,Kottayam,Kerala
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10164829/10164822/10165135.pdf?arnumber=10165135
Reference30 articles.
1. 3d u-net based brain tumor segmentation and survival days prediction;wang;International MICCAI Brainlesion Workshop,2019
2. 3d semantic segmentation of brain tumor for overall survival prediction;agravat;International MICCAI Brain lesion Workshop,2020
3. Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features;bakas;Scientific Data,2017
4. The multimodal brain tumor image segmentation benchmark (brats);menze;IEEE Transactions on Medical Imaging,2014
5. 3d brain tumor segmentation and survival prediction using ensembles of convolutional neural networks;gonzález;International MICCAI Brainlesion Workshop,2020
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