The Belgian Node is pleased to announce that 2 projects – one about Active Segmentation and one about neuroimaging were selected for support by GSOC 2021. Piyumal Demotte will develop Input/Out Workflows for Active Segmentation Platform. Pranav Mahajan will develop A Python toolbox for computing high-order information in neuroimaging.
Posts Tagged: segmentation
We are pleased to announce that despite the difficulties imposed by the COVID-19 pandemic the Belgian Neuroinformatics Node is committed to its mission of developing software tools for the scientific community. This year we are sponsoring two GSOC 2020 projects: Cell Tracking using Geometric Features by Raghavendra Singh Chauhan https://summerofcode.withgoogle.com/dashboard/organization/5909991434747904/proposal/5444029124182016/ Deep Learning using… Read more »
The Belgian Neuroinformatics Node participates in GSOC 2019 with INCF. Follow us on Neurostars.org Project ideas postings: GSoC Project Idea 11: Cell Tracking using Geometrical Features The Virtual Brain (TVB) Edu Pack for clinical case studies reports GSoC Project Idea 17: Maxima to Python translator There are also pages on the node’s website: http://neuroinformatics.be/projects/cell-tracking-1/
This year the Belgian INCF Node proposed two projects under the Google Summer of Code 2018. Weare happy to announce that the GSOC project Modular Machine Learning and Classification Toolbox for ImageJ (3rd iteration ) by Sanjeev Dubej was successfully completed! The project incorporated Legendre image moments and texture descriptors for the purposes of classification of different… Read more »
All except one of the GSOC projects passed successfully the mdi-term evaluation in the Google Summer of Code program. The Active Segmentation plugin in addition was presented on the INCF booth at FENS in Berlin . The schedule can be found here: https://www.incf.org/node/287
The Belgian node will support the development of three Google Summer of Code projects in 2018. Student developers Sanjeev Dubey Modular Machine Learning and Classification Toolbox for ImageJ ImageJ is an open source Image Processing library written in Java which is being extensively used by people working in Life and Material sciences. ImageJ supports various… Read more »
The GSOC 2017 was successfully completed by Mukesh Gupta. The aim of the project was to provide the general purpose environment that allows biologists and other domain experts to use state-of-the-art techniques in machine learning to improve segmentation of objects in different types of images. The project was completed under the supervision of Dimiter Prodanov (Belgian INCF Node Fellow)… Read more »