Brain Tumor Detection based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9719588/9719687/09719773.pdf?arnumber=9719773
Reference20 articles.
1. Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors
2. Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
3. Automated System Design for Classification of Chronic Lung Viruses using Non-Linear Dynamic System Features and K-Nearest Neighbour
4. A Comparative Survey of LiDAR-SLAM and LiDAR based Sensor Technologies
5. Embedded System Design for Real-time Detection of Asthmatic Diseases Using Lung Sounds in Cepstral Domain;khan;6th International Electrical Engineering Conference (IEEC 2021) April 2021 at NEDUET,2021
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. Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust;PLOS ONE;2023-04-17
2. Computer-Aided Diagnosis System for Brain Tumor Classification and Segmentation;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23
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