Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care
Image segmentation is dividing of medical imaging into parts and extracting the regions of interest. The study involves the images of brain tumors where the tumor part is segmented from the image and analyzed accurately and efficiently. Convolution Neural Network (CNN) has made a tremendous progress in the field of the Medical and Information Technology. With CNN model, one may not be able to reorganize higher risk patients to get immediate aid they require but also communicate through the network to the clinicians, surgeons, eventually improving the standard of patient care in the medical system.
KeywordsConvolutional neural network Gray-level Pixel Segmentation
Conflicts of Interest
Prisilla Jayanthi is the principal investigator of the CNN study and involved in script making. Dr. I. V. Murali Krishna is a keen guide in directing the research work and giving the novel ideas. The X-ray reports were collected from the Gandhi Hospital, Secunderabad, India and thanks for their support.
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