Publication

Abstract : Healthcare sector is a broad field offering diverse facilities which includes diagnosis of medical issues, offering advanced treatments and surgeries to ensure the wellness of a patient. Due to the ever increasing health issues, there are lot of new challenges encountered by the medical sector. To overcome this challenges, deep learning techniques have become an integral part of the medical field aiding in medical image analysis offering valuable insights for diagnosis of diseases. Kidney Stone detection involves deep learning models to analyse the Computed tomography scans of patients to accurately identify the of kidney stones. The models are trained using various pre-processed cross-sectional CT scans of each patient, allowing the model to comprehensively analyze and learn from diverse imaging data for enhanced diagnostic accuracy and effectiveness in detecting and classifying into kidney stones, cysts, tumors and normal conditions along with the identification of kidney stone sizes.