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Authors present a systematic review of brain diseases using deep learning techniques. A comparative analysis of recent knowledge that correlates with the detection of brain disorders using deep learning techniques is considered. The diverse strategies which can be a part of Medical Image Processing and are prominently utilized in coming across brain tumors from MRI Images. Brain tumors can be detected manually by experts using the CT scan images. Pre-processing is required to improve the inputted CT scan image. The preprocessing consists of three steps: 1) Grayscale conversion. 2) Resizing the image. 3) Median filtering.…mehr

Produktbeschreibung
Authors present a systematic review of brain diseases using deep learning techniques. A comparative analysis of recent knowledge that correlates with the detection of brain disorders using deep learning techniques is considered. The diverse strategies which can be a part of Medical Image Processing and are prominently utilized in coming across brain tumors from MRI Images. Brain tumors can be detected manually by experts using the CT scan images. Pre-processing is required to improve the inputted CT scan image. The preprocessing consists of three steps: 1) Grayscale conversion. 2) Resizing the image. 3) Median filtering.
Autorenporträt
Mr. Bhausaheb S. Salve Completed BE IT and ME Computer from SPPU Pune University. He is Ph.D Scholar Student at Sandip University Nashik.Mr. Pradip P. Ghorpade completed BE IT from SPPU Pune University and M Tech in CS. He is Ph.D Scholar Student at Sandip University Nashik.