3D reconstruction of brain tumors from 2D MRI scans: An improved marching cube algorithm-Reference-Cited by-同舟云学术

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3D reconstruction of brain tumors from 2D MRI scans: An improved marching cube algorithm

Published:2024-05 Issue: Volume:91 Page:105901
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Mittal Ruchi,Malik Varun,Singla Geetanjali,Kaur Amandeep,Singh Manjinder,Mittal Amit

Publisher

Elsevier BV

Reference33 articles.

1. Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN;Kesav;J. King Saud University-Computer Inform. Sci.,2022

2. Optimized edge detection technique for brain tumor detection in MR images;Abdel-Gawad;IEEE Access,2020

3. A new convolutional neural network architecture for automatic detection of brain tumors in magnetic resonance imaging images;Musallam;IEEE Access,2022

4. Learning methods of convolutional neural network combined with image feature extraction in brain tumor detection;Wang;IEEE Access,2020

5. A novel framework for brain tumor detection based on convolutional variational generative models;Salama;Multimed. Tools Appl.,2022

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. Deep learning-based solution for 3D reconstruction from single RGB images;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

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