Academic Function-Integration-On-Colonoscopy-Dataset The implementation uses a U-Net architecture with ResNet as the backbone designed for performing segmentation, detection, and classification on a colonoscopy dataset. Modified Anytime Stereo Image Depth Estimation This is a Modified repository, it is based on the original "Anytime Stereo Image Depth Estimation on Mobile Devices". Pulmonary Embolism CT scans Segmentation and Localization The code for segmentation and localization tasks in Computer Aided Detection for Pulmonary Embolism (CAD-PE). CAD-PE Classification with Swin Transformer the code for classifying Pulmonary Embolism (PE) in CT scans using the Swin Transformer model. NIH Chest-Xray Dataset Classification with Swin Transformer the code for classifying Chest X-ray classification using the Swin Transformer Model. Personal Statistical Learning Welcome to the ISLP Exercise repository! This repository contains my hands-on exercises related to the book "Introduction to Statistical Learning with Python" concepts implemented in Python using Jupiter Notebooks. Object Detection Object detection is performed on ArgoverseHD-Dataset - Exploring YOLOv8 Models X-Ray Image Clustering clustering X-ray images using the K-Means algorithm Segmentation on JSRT instance segmentation model using the UNET to segment lungs and heart structures. Colonoscopy Segmentation Colonoscopy Image Analysis with UNet
