Brain Tumor Segmentation Using UNet-VGG19

In this project I'm going to segment Tumor in MRI brain Images with a UNET which is based on Keras. The dataset is available online on Kaggle, and the algorithm provided 99% accuracy with a validation loss of 0.11 in just 10 epochs.

Demo to segment brain MRI FLAIR

Implementing U-Net Semantic Segmentation from Scratch for Carvana Image Masking Challenge

TGS-Salt Kaggle Competition Submission

Kaggle: TGS Salt Identification Challenge

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

百度车道线比赛

Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.

Image Segmentation with UNET

5 input channels UNET semantic segmentation for aerial image classifier

In this repository you can find the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

Prototipo Slenderman Multijugador

My take on card localization and classification

UNet binary segmentation - inference software (on normal images)

Semantic Segmentation Benchmarking Framework for Surgical Robotics 📹 🤖 🪡

Structured Illumination Microscopy (SIM) Super-Resolution using Deep Learning UNet

this repo's goal is an improvement in overall development capability about image processing

An example GitHub-hosted repository for a Machine Learning (ML) model using best practices