Henry gas bird swarm optimization algorithm‐based deep learning for brain tumor classification using magnetic resonance imaging-Reference-Cited by-同舟云学术

Henry gas bird swarm optimization algorithm‐based deep learning for brain tumor classification using magnetic resonance imaging

Published:2022-12-21 Issue:4 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Ponnupilla Omana Sinciya¹^ORCID,Dar Jawad Ahmad²,Rajesh Kumar Thevasigamani³,Sampath Arpakkam Karuppan⁴,Sharma Sudhir⁵

Affiliation:

1. Department of Computer Science and Engineering Amal Jyothi College of Engineering Kanjirapally India

2. Department of Computer Science and Engineering Mansarovar Global University sehore Madhya Pradesh India

3. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

4. CSE Presidency University Bangalore India

5. Department of Information Technology School of Computing & Information Technology, Manipal University Jaipur Rajasthan India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7541

Reference40 articles.

1. ZikicD GlockerB KonukogluE.Context‐sensitive classification forests for segmentation of brain tumor tissues. Proceedings of MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation; 2012.

2. Multiclassifier for severity‐level categorization of glioma tumors using multimodal magnetic resonance imaging brain images

3. A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

4. Hereditary and non-hereditary branches of family eligible for BRCA test: cancers in other sites

5. A survey of MRI-based medical image analysis for brain tumor studies

Cited by 10 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. Brain tumor classification utilizing Triple Memristor Hopfield Neural Network optimized with Northern Goshawk Optimization for MRI image;Biomedical Signal Processing and Control;2024-09

2. HYBRID OPTIMIZATION-ENABLED FUNCTIONAL CONNECTIVITY-BASED PIVOTAL REGION EXTRACTION AND TRANSFER LEARNING FOR AUTISM SPECTRUM DISORDER DETECTION;Biomedical Engineering: Applications, Basis and Communications;2024-06-21

3. Alzhinet: an explainable self-attention based classification model to detect Alzheimer from 3D volumetric MRI data;International Journal of System Assurance Engineering and Management;2024-06-02

4. Dense residual network for image edge detection;Multimedia Tools and Applications;2024-04-23

5. Multi-modal fusion network with intra- and inter-modality attention for prognosis prediction in breast cancer;Computers in Biology and Medicine;2024-01