Brain Tumor Segmentation and Survival Prediction using Multimodal MRI Scans with Deep learning Algorithms-Reference-Cited by-同舟云学术

Brain Tumor Segmentation and Survival Prediction using Multimodal MRI Scans with Deep learning Algorithms

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

S Anjanayya¹,Gayathri V. M.¹,Pitchai R.²

Affiliation:

1. SRM Institute of Science and Technology,School of Computing,Kattankulathur,Tamilnadu

2. B V Raju Institute of Technology,Department of Computer Science and Engineering,Narsapur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914152.pdf?arnumber=9914152

Reference11 articles.

1. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization

2. Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain

3. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

4. Automatic brain tumor segmentation in multispectral MRI volumes using a random forest approach;kapás;Pacific-Rim Symposium on Image and Video Technology,2017

5. Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols

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