U-Net implementation for urban analysis

This repository contains my implementation of U-Net neural network in Keras. Its puropse is to perfor segmentation of cells in microscopic images.

ISIC Challenge - Lesion Segmentation task solved using a U-Net Xception-style model at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech.

Project implementation of land cover classification problem. This repository contains the implementation of models in pytorch lightning and their results.

This U-net based model can correctly classify and segment a patients' brain tumor

The repo of the ANN's class final project in NCU (Toruń, Poland). It is an implementation of the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation".

Enhancing glioma tumor segmentation and survival analysis

uav-image-segmentation for hurrican-hurvey-flood-damage by unet

To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones

PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset

Identifying and segmenting pneumothorax pulmonary disease in chest x-rays. Codes and data related to SIIM-ACR Pneumothorax Segmentation Kaggle Challenge.

This is my project about liver vessel segmentation in CT images based on hessian matrix and U-Net networks

Cell segmentation using convolutional natural networks

Calculus segmentation of OCT tomography with U-Net

Ciloctunet

Use trained deep learning (DL) model (modified 3D U-Net) to predict chamber segmentation and cardiac imaging planes on new cases. Author: Zhennong Chen, PhD

U-Net based PyTorch model for roads segmentation trained on Cityscapes dataset

A tutorial providing an end-to-end workflow of image segmentation of buildings based on aerial images.