Classificator of cells under influence of Paclitaxel (Taxol) using RNN

Implementation of Segnet on a cascading architecture

⛏️Use UNet

wai.annotations plugin for making predictions via models communication through Redis backend.

A Unet implementation from original paper

An Image Segmenting based power adjusting system for a Ring shooter system designed for RoboCon 2023

Image processing to deep learning practice codes.

DriveSafe-PotholeDetect uses AI to detect potholes in real-time, improving road safety. This project demonstrates how technology can prevent accidents and enhance driving experiences.

A skin detection system using image processing and machine learning to classify pixels as skin or non-skin. Implements Python, OpenCV, and algorithms like Logistic Regression and Random Forest for segmentation and classification.

Real-time AI wound monitoring system using computer vision, streaming analytics, and LLM insights to transform post-surgical care with privacy-first design.

This is image segmentation for project school, just to try...😒

Task to create a model that can automatically segment the stomach and intestines on MRI scans.

Neuroevolution of efficient neural networks for semantic segmentation

Relaxed multi-levelset segmentation package, with tomographically consistent refinement.

A model for lung tumor nodules segmentation in mice CT scans.

Detection of dermoscopic structures for melanoma diagonsis

The project focuses on training deep learning models for land segmentation tasks using the OpenSentinelMap dataset. It includes preprocessing pipelines, dataset filtering, and training routines for architectures like U-net.

This package provides seamless integration of pre-trained image segmentation models from Ilastik into Python workflows.

Applications of CNNs for the Detection of Brain Cancer in CT Scans. Machine vision using TensorFlow applied to medical imaging.

Training a keras model to do image segmentation using Oxford-IIIT Pet Dataset.