Brain Tumor Segmentation Using UNet-VGG19

Demo to segment brain MRI FLAIR

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

Implementation of UNet architecture in PyTorch

curriculum development ideas for computational biology internship and teaching assistantship @ AI4ALL

An AICrowd Challenge: CNN classifier that predicts whether the pixels of an image represent a road or not.

Some models built from scratch with PyTorch during my graduate program at UT Austin

Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

Unet network for handwriting transforamation

Multiplayer networked PvP game made in Unity

Performance of various image segmentation models.

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

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.

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.

UNet binary segmentation - inference software (on normal images)