Brain Tumor and Lung Disease Detection using Deep Learning

Abstract

Brain Tumor and Lung Disease Detection using Deep Learning stands at the forefront of medical innovation, revolutionizing diagnostics with cutting-edge technology. Leveraging intricate algorithms and convolutional neural networks (CNNs), it automates the analysis of MRI scans for brain tumors and chest CT-Scans for lung diseases. Through meticulous feature extraction, this system precisely identifies diverse tumor types like glioma, meningioma, and pituitary tumors, along with lung pathologies such as bacterial pneumonia, viral pneumonia, and tuberculosis. By harnessing the power of deep learning, this ambitious project aims to significantly enhance diagnostic efficiency and accuracy, ushering in a new era in medical practice. Beyond expediting diagnoses, it holds promise in tailoring treatment strategies for improved patient care and treatment outcomes across neurology and pulmonology. Keywords: Brain Tumor Detection, Lung Disease Identification, Advanced Medical Diagnostics, Convolutional neural networks, Neural Network-based Diagnosis, Medical Diagnostics.