Deep Learning for Histopathology Image Analysis

This workshop aims to train participants in applying deep learning techniques to histopathology images for disease detection, classification, and biomarker analysis. It focuses on computational (dry-lab) workflows for handling large pathology images, feature extraction, and model development. Participants will gain practical skills in building, evaluating, and interpreting deep learning models for medical image analysis. The program bridges AI research with real-world digital pathology applications.

• Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
• Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
• University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
• Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
• Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.