The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

The program is designed for segmentation and creating 3D models of certain organs from DICOM images

A table top pointcloud segmentation using ROS

Python programs to analyze GUV geometry (e.g., radius, volume), quantify protein binding in time-lapse confocal image data, and fit equilibrium binding curves to extract membrane affinity.

Stagnant zone segmentation with U-net

Brain Segmentation

Machine Learning coursework | Applied Sciences Faculty, UCU (2019)

MICrONS TA3 connectivity database

Modified TensorFlow implementation of the 3D Mask R-CNN.

3D Segmentation of Kidney Vasculature - MONAI + PyTorch 🚀

A multi-organ tumour detection using deep learning. MSc First Class Honours project achieving 93.15% Dice score

Deep learning project using EfficientPS for panoptic segmentation on medical images. Combines semantic & instance segmentation for precise organ and instrument detection. Ideal for medical image analysis, computer vision, healthcare AI and research.

The segmentation model for ECCV 2024 paper StyleCity

End-to-end UNet3D stack for volumetric medical segmentation: training utilities, FastAPI inference API, Streamlit review UI, Docker deployment, and a model card. Upload NIfTI volumes, get masks back, and visualize slices/IoU plots from experiments. Built for reproducible research and production-grade serving

3D Brain Tumor Segmentation using a Novel Multi-scale Generative Adversarial Network

A segmentation network for intracranial aneurysm on TOF-MRA images using PyTorch

This repository is made for all learners. If you like it, do give it a star.

Automatic bounding box detection using masks, image cropping, and volume storage