Instance segmentation of neural cell images with computer vision and deep learning.

Term: 
2022-2023 Summer
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 
1

The segmentation of neural cells is critical for the study of the brain. However unlike other cells in the human body, neural cells have a particular elongated shape rendering their detection and segmentation challenging. This project is about developing a computer vision solution that will admit a digital microscopy image as input and calculate the precise location of the neural cells in it as output. You will be working with deep convolutional neural networks designed for instance segmentation and object detection. For more information check the paper "Instance Segmentation of Neural Cells" by Yi et al, 2018.

Related Areas of Project: 
Computer Science and Engineering
Electronics Engineering