Multi-class Brain Tumor Segmentation using Graph Attention Network-Reference-Cited by-同舟云学术

Multi-class Brain Tumor Segmentation using Graph Attention Network

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Signal and Image Processing (ICSIP)
language:
Short-container-title:

Author:

Patel Dhrumil¹,Patel Dhruv¹,Saxena Rudra¹,Akilan Thangarajah¹

Affiliation:

1. Lakehead University,Computer Science,Thunder Bay,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269795/10270814/10270859.pdf?arnumber=10270859

Reference30 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015 18th Intl Conf Munich Germany October 5-9 2015 Proc Part III 18,2015

3. A new model for learning in graph domains

4. Video Foreground Extraction Using Multi-View Receptive Field and Encoder–Decoder DCNN for Traffic and Surveillance Applications

5. 3d mri brain tumour segmentation with autoencoder regularization and hausdorff distance loss function;fonov;Brainlesion Glioma Multiple Sclerosis Stroke and Traumatic Brain Injuries 7th Intl Workshop BrainLes 2021 Held in Conjunction with MICCAI 2021 Virtual Event September 27 2021 Revised Selected Papers Part I,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Advancing Brain Tumor Segmentation with Spectral–Spatial Graph Neural Networks;Applied Sciences;2024-04-18

3. An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18