STL File Renderer using ThreeJS

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux, OSX and Windows.

MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.

Unity3d Prototype to manipulate Hounsfield units and create a 3D render of dicom images

A GUI tool for visualizing 3D CT scans with ground truth and predicted segmentation overlays. The viewer allows for easy navigation through slices and adjustment of CT scan intensities. Perfect for medical image analysis and comparison of segmentation results.

Deep CNN for performing 3D super resolution on CT/MRI scans

Visual Volume visualizes volumetric data using Three.js and WebGL, rendering 3D data from sources like CT scans.

In-depth motion analysis of mobile lung cancer tumors. Designed for 4D-CT scans of the thorax and provide valuable information for proton therapy treatment planning

Biomedical Image Processing involves applying computer algorithms to analyze and enhance medical images, such as X-rays or MRI scans. It aims to extract meaningful information, diagnose diseases, and aid in medical research by employing advanced image analysis techniques and computational tools.

COVID-19 CT scan image classification using EfficientNetB2 with transfer learning and deployment using Streamlit. This project focuses on accurately classifying CT scan images into three categories: COVID-19, Healthy, and Others. Leveraging transfer learning on pretrained EfficientNetB2 models, the classification model achieves robust performance.

A repository containing deep learning models and evaluation methods for enhancing medical image segmentation in Computed Tomography (CT) scans, with a focus on U-Net variants, nnUNet, and Swin-UNet architectures.

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can…

Image-to-image deep learning framework for MRI to porosity map translation

Deep CNN-Based CAD System for COVID-19 Detection Using Multiple Lung CT Scans.

🔀 Medical software for Processing multi-Parametric images Pipelines

View volumetric (3D) medical images in Jupyter notebooks

An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

Application for displaying and analyzing 3D volumes that utilizes custom made engine.

Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.