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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com
Title : Disease Diagnosis from Medical Images
Author : Dr.G.Prasuna, Devarampati Bhargava Nandan, Bondi Davidu, Majeti Sai Sravanthi, Kaatamgari Ramakrishna
Abstract :
Disease Diagnosis from Medical Images improves the healthcare diagnosis process by offering an intelligent platform for medical picture interpretation, abnormality identification, disease categorization, and report creation. This system uses deep learning and automated analysis to guarantee accuracy, consistency, and speed throughout the diagnostic lifecycle, in contrast to traditional diagnostic methods that involve manual examination, subjective judgment, and a higher likelihood of oversight. The solution guarantees a more seamless diagnostic experience for radiologists, physicians, and patients by lowering manual burden, minimizing diagnostic bias, and providing rapid predictions through an intuitive interface. In the end, this strategy fosters dependability, effectiveness, and clinical scalability, which allows medical facilities to make decisions more quickly, and have a bigger influence on patients.