Deep learning for cell phenotype classification
Organization
Computational Neuroscience Lab
Abstract
This project consists in the use of convolutional neural networks for segmenting images by cell phenotype. You will have sets of images from different cell lines and for each image the cells location. The network has to be able to locate the cells and for each cell classify them for images with mixed cells lines.
Graduation Theses defence year
2017-2018
Supervisor
Daniel Majoral, Raul Vicente
Spoken language (s)
English
Requirements for candidates
Neural networks knowledge
Level
Keywords
Application of contact
Name
Daniel Majoral
Phone
E-mail