KIDNEY CANCER DETECTION USING IMAGE PROCESSING TECHNIQUES

KIDNEY CANCER DETECTION USING IMAGE PROCESSING TECHNIQUES

IMPLEMENTATION OF COMPUTER AIDED DIAGNOSIS FOR KIDNEY CANCER DETECTION

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Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic procedures for early detection and diagnosis are crucial. Some difficulties with manual segmentation have necessitated the use of deep learning models to assist clinicians in effectively recognizing and segmenting cancer. Probabilistic Convolutional Neural Network (PCNN) particularly convolutional neural networks, has produced outstanding success in classifying and segmenting images. In this project, image filtering on MRI kidney images is carried out using Bilateral Anisotropic Diffusion Filter algorith...