A novel depth search based light weight CAR network for the segmentation of brain tumour from MR images-Reference-Cited by-同舟云学术

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A novel depth search based light weight CAR network for the segmentation of brain tumour from MR images

Published:2022-12 Issue:4 Volume:2 Page:100105
ISSN:2772-5286
Container-title:Neuroscience Informatics
language:en
Short-container-title:Neuroscience Informatics

Author:

Tankala Sreekar,Pavani Geetha,Biswal Birendra^ORCID,Siddartha G.^ORCID,Sahu Gupteswar,Subrahmanyam N. Bala,Aakash S.^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Brain tumor segmentation of MRI images using processed image driven u-net architecture;Arora;Computers,2021

2. A deep learning model based on concatenation approach for the diagnosis of brain tumor;Noreen;IEEE Access,2020

3. A nested U-net approach for brain tumour segmentation;Micallef,2020

Cited by 1 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. A Deep Learning Based Effective Model for Brain Tumor Segmentation and Classification Using MRI Images;Journal of Advances in Information Technology;2023

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