📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Digital Pathology: Tools, Applications & Future Scope, from foundations to a certified capstone project.
Outline
Transition from analog to digital pathology platforms • Components of digital imaging and slide scanners • Integration with LIMS • Telepathology and automated diagnostic pipelines
Outline
Brightfield, fluorescence, and multispectral imaging comparison • Optical and computational factors in image quality • Standards for image reproducibility in labs • Global QA practices for imaging validation
Outline
Resolution enhancement and artifact reduction • Intensity normalization and color consistency • Tissue segmentation via algorithms • Feature extraction: morphological and textural
Outline
CNNs and ensemble models in image analysis • AI model deployment for scoring and classification • Multi-class classification and diagnostic modeling • Evaluation metrics, ethics, and translational issues
Earn government-registered certification in Digital Pathology: Tools, Applications & Future Scope
e-Certificate and e-Marksheet issued on successful completion.
