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Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features.

, , , , , , , , , , and . ICIC (3), volume 10363 of Lecture Notes in Computer Science, page 107-116. Springer, (2017)

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A Study of Data Classification and Selection Techniques for Medical Decision Support Systems., , , , , and . ICIC (2), volume 8589 of Lecture Notes in Computer Science, page 135-143. Springer, (2014)Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches?, , , , and . DeSE, page 376-382. IEEE, (2013)Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets., , , , , and . IWSSIP, page 228-232. IEEE, (2015)A mechatronic valve in the management of hydrocephalus: methods and performance., , , and . Medical Biol. Eng. Comput., 49 (1): 121-132 (2011)Identifying Preferences and Developing an Interactive Data Model and Assessment for an Intelligent Mobile Application to Manage Young Patients Diagnosed with Hydrocephalus, , , , , and . Applied Computing in Medicine and Health, chapter 9, Elsevier and Morgan Kaufmann, Amsterdam, (2016)Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks., , , , , , , , , and . IEEE Access, (2019)Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation., , , , , , , , , and . HPCC/SmartCity/DSS, page 1449-1454. IEEE, (2018)Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching., , , , and . CoRR, (2020)