Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives-Reference-Cited by-同舟云学术

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Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives

Published:2024 Issue: Volume:12 Page:26875-26896
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Karim Shahid¹^ORCID,Tong Geng¹^ORCID,Yu Yiting¹^ORCID,Laghari Asif Ali²^ORCID,Khan Abdullah Ayub²^ORCID,Ibrar Muhammad³,Mehmood Faisal⁴^ORCID

Affiliation:

1. Research and Development Institute, Northwestern Polytechnical University in Shenzhen, Shenzhen, China

2. Department of Computer Science, Sindh Madressatul Islam University, Karachi, Pakistan

3. Software College, Shenyang Normal University, Shenyang, China

4. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China

Funder

Shenzhen Science and Technology Innovation Committee

Science and Development Program of Local Lead by Central Government, Shenzhen Science and Technology Innovation Committee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10431786.pdf?arnumber=10431786

Reference200 articles.

1. Deep Learning for Generic Object Detection: A Survey

2. Insight into Images

3. ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation

4. Deep learning based brain tumor segmentation: a survey

5. Recent progress in nanomedicines for imaging and therapy of brain tumors

Cited by 2 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. Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation;Multimedia Tools and Applications;2024-09-12

2. Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques;2024-07-19

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