Automatic Karyotyping using Image Semantic Segmentation to Separate Overlapping Chromosomes

Researcher:  Boineelo Sekori, Sol Plaatje University
Supervisors:  Dr Albert Whata, Sol Plaatje University

This study aims to automate karyotyping to successfully separate the overlapping human chromosomes.  The objectives are as follows:
1. Automate semantic segmentation task for separating overlapping chromosomes.
2. Perform human karyotype chromosome segmentation using deep learning algorithms.
3. Assessing deep learning models in the semantic segmentation of separating overlapping chromosomes.
4. Evaluate the performance of the adapted and modified deep learning architecture.