Deep Learning for Medical Image Analysis

Description

We are seeking a motivated undergraduate student to join our research team working on applying deep learning techniques to medical image segmentation and classification. The project involves training convolutional neural networks on MRI and CT scan datasets to assist radiologists in detecting anomalies. You will gain hands-on experience with PyTorch, medical imaging datasets, and state-of-the-art deep learning architectures.

Requirements

Basic knowledge of Python and machine learning concepts. Familiarity with NumPy and ideally PyTorch. Strong motivation to learn and contribute to impactful research.

Mentor

Computer Science

PhD student in AI and machine learning. Looking for motivated mentees to join our research group.