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Digital pathology represents a major shift in diagnostic medicine, offering improved efficiency, scalability, and accessibility. This course begins by examining the transition from analog to digital pathology, exploring critical components such as slide scanners, image acquisition systems, and integration with Laboratory Information Management Systems (LIMS). Participants will gain insight into telepathology and the development of automated pipelines for diagnostic workflows, leveraging artificial intelligence and metadata-driven image analysis.
Building upon this foundation, the course delves into various imaging modalities—brightfield, fluorescence, and multispectral imaging—while emphasizing image quality control and reproducibility. It also covers computational processing techniques like tissue segmentation and feature extraction. The final segment focuses on interpreting digital pathology data using advanced computational techniques, including scoring algorithms and semantic markup for diagnostics. This program is ideal for learners aiming to be at the forefront of the digital healthcare revolution.
Digital pathology represents a major shift in diagnostic medicine, offering improved efficiency, scalability, and accessibility. This course begins by examining the transition from analog to digital pathology, exploring critical components such as slide scanners, image acquisition systems, and integration with Laboratory Information Management Systems (LIMS). Participants will gain insight into telepathology and the development of automated pipelines for diagnostic workflows, leveraging artificial intelligence and metadata-driven image analysis.
Building upon this foundation, the course delves into various imaging modalities—brightfield, fluorescence, and multispectral imaging—while emphasizing image quality control and reproducibility. It also covers computational processing techniques like tissue segmentation and feature extraction. The final segment focuses on interpreting digital pathology data using advanced computational techniques, including scoring algorithms and semantic markup for diagnostics. This program is ideal for learners aiming to be at the forefront of the digital healthcare revolution.
This course aims to provide learners with a comprehensive understanding of the digital transformation in pathology. From slide digitization and imaging standards to computational analysis and diagnostic interpretation, the program is designed to equip participants with the tools and frameworks essential for modern pathological workflows. It bridges the gap between laboratory practices and technological innovation, emphasizing quality, automation, and digital integration for scalable and AI-driven healthcare systems.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Standard Fee: INR 9,998 USD 150
Discounted Fee: INR 4999 USD 75
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