Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-019-00276-2.pdf
Reference44 articles.
1. Rodger JA: Discovery of medical big data analytics: Improving the prediction of traumatic brain injury survival rates by data mining patient informatics processing software hybrid Hadoop hive. Informatics in Medicine Unlocked 1:17–26, 2015
2. Kalaiselvi T, Sriramakrishnan P: Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine. International Journal of Imaging Systems and Technology 28(3):163–174, 2018
3. Zhang D, Shen D, Alzheimer's Disease Neuroimaging Initiative: Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers. PloS one 7(3):e33182, 2012
4. Shree NV, Kumar TNR: Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network. Brain informatics 5(1):23–30, 2018
5. Khalil M, Ayad H, Adib A: Performance evaluation of feature extraction techniques in MR-brain image classification system. Procedia Computer Science 127:218–225, 2018
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