Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease

no code implementations • 11 Jan 2023 • Fatemeh Haghighi, Soumitra Ghosh, Hai Ngu, Sarah Chu, Han Lin, Mohsen Hejrati, Baris Bingol, Somaye Hashemifar

To this end, we propose an end-to-end deep learning framework based on self-supervised learning for the segmentation and quantification of dopaminergic neurons in PD animal models.

Self-Supervised Learning

Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease

no code implementations • 7 Jan 2023 • Hosein Barzekar, Hai Ngu, Han Hui Lin, Mohsen Hejrati, Steven Ray Valdespino, Sarah Chu, Baris Bingol, Somaye Hashemifar, Soumitra Ghosh

Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images.

Data Augmentation Semantic Segmentation