Brain Tumour Segmentation Using S-Net and SA-Net-Reference-Cited by-同舟云学术

Brain Tumour Segmentation Using S-Net and SA-Net

Author:

Roy Sunita¹^ORCID,Saha Rikan¹^ORCID,Sarkar Suvarthi²^ORCID,Mehera Ranjan³^ORCID,Pal Rajat Kumar¹^ORCID,Bandyopadhyay Samir Kumar⁴

Affiliation:

1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

2. Department of Computer Science and Engineering, IIT Guwahati, Guwahati, Assam, India

3. Anodot Inc., Ashburn, VA, USA

4. The Bhawanipur Education Society College, Kolkata, West Bengal, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference45 articles.

1. Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation;alom;arXiv 1802 06955,2018

2. Optimized U-Net for brain tumor segmentation;futrega;arXiv 2110 03352,2021

3. Attention U-Net: Learning where to look for the pancreas;oktay;arXiv 1804 03999,2018

4. Swin-UNet: UNet-like pure transformer for medical image segmentation;cao;arXiv 2105 05537,2021

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2. Brain Tumor Segmentation on MRI Images Using 2D ResNeXt;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10