Fully convolutional deep neural network to remove transparent overlays from images

Multi-Planar UNet for autonomous segmentation of 3D medical images

A robot motion planning simulator that can efficiently navigate partially observable environments using deep learning

An API that detect expiration date from the product package's picture based on Deep Learning Algorithms

Protein Residue Contact Prediction based on a Deep Neural Architecture

Neonate segmentation project at NIRAL, UNC, with Dr. Martin Styner.

semantic-segmentation

Master's thesis

This Project is Semantic Segmentation Project of Term 3 of Udacity Self-Driving Car Engineer Nanodegree.

Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).

Pixel segmentation of roads from dashboard camera using Fully Convolutional Network

using deep learning (semantic segmentation, FCN) to find drivable parts of the road

A real-time application of the LIGHT-SERNET model