Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Abstract: High-resolution computed tomography (HRCT) plays a critical role in diagnosing lung diseases by providing detailed visualization of infections, inflammation, fibrosis and tumors. Recent ...
Abstract: Medical image segmentation often involves inherent uncertainty due to inter observer variability. In this case, a single deterministic mask obtained by conventional segmentation networks, ...
Image classification represents the most straightforward among the three tasks and entails the categorization of an entire image into one of several predetermined classes. The outcome of an image ...
Brain Tumor Classification using CNN This project presents a Convolutional Neural Network (CNN)-based approach for brain tumor classification from MRI scans, implemented using Tensorflow/Keras. The ...