Digital Pathology and AI-Driven Image Analysis

“Transforming Pathology: Pioneering AI in Digital Image Analysis”

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
4 Weeks

About

“Digital Pathology and AI-Driven Image Analysis” is a groundbreaking one-month course that merges the fields of pathology, digital imaging, and artificial intelligence to transform the way pathological analyses are performed. The course begins with an overview of digital pathology, including the basics of image acquisition and the transition from traditional microscopic methods to advanced digital systems. The second part of the course delves into the integration of AI and machine learning techniques, teaching students how to develop, train, and implement models that can automatically detect, classify, and predict pathological patterns and outcomes from digital slides.

Aim

This program is designed to equip participants with the skills to revolutionize pathology through digital technologies and artificial intelligence. Students will learn to harness powerful AI tools to enhance the accuracy and efficiency of pathology analysis, translating complex digital images into actionable medical insights.

Program Objectives

Understand the fundamentals of digital pathology and image acquisition.
Learn to use image processing tools and techniques to analyze pathology slides.
Develop and apply AI models for automatic detection and classification of diseases.
Evaluate the effectiveness of AI-driven image analysis in clinical practice.
Promote the adoption of digital and AI technologies in pathology for improved healthcare outcomes.

Program Structure

Week 1:

Introduction to Digital Pathology
- Understanding the shift from traditional to digital pathology
- Overview of digital imaging systems and slide scanners
- Fundamentals of digital pathology workflows
Imaging Techniques in Pathology
- Basics of histopathological imaging
- Key imaging modalities (brightfield, fluorescence, and multispectral imaging)
- Quality control and standardization in digital imaging

Week 2:

Image Processing Fundamentals
- Introduction to image processing techniques
- Image pre-processing: Noise reduction, contrast enhancement, and normalization
- Tissue segmentation and feature extraction
AI in Image Analysis
- Introduction to machine learning and deep learning for image analysis
- Practical session: Using AI tools for tissue classification
- Case studies: Automated diagnosis and quantification in pathology

Week 3:

Developing AI Models for Pathology
- Steps in building AI models: Data preparation, model selection, and validation
- Training and optimizing convolutional neural networks (CNNs) for pathology
- Exploring advanced AI techniques: Transfer learning and ensemble models
Integrating AI into Clinical Workflows
- Challenges in clinical deployment of AI models
- Regulatory and ethical considerations in AI-based diagnostics

Week 4:

- Case Studies and Real-world Applications
  - AI applications in oncology, dermatopathology, and other specialties
  - Industry insights: Panel discussion with AI and pathology experts
- Future Directions in AI for Pathology
  - Emerging trends in AI and pathology integration
  - Networking session and program closure

Participant’s Eligibility

Undergraduate degree in Pathology, Biomedical Engineering, Computer Science, or related fields.
Professionals in healthcare, biotechnology, or medical research sectors.
Individuals interested in applying digital and AI technologies to enhance diagnostic and research capabilities in pathology.

Program Outcomes

Mastery of digital slide preparation and analysis.
Ability to apply AI and machine learning models to pathology images.
Skills in automating and enhancing diagnostic processes.
Knowledge of current and emerging technologies in digital and computational pathology.
Capability to lead digital transformation in pathology departments.

Fee Structure

Standard Fee: INR ~~4,998~~ USD ~~110~~

Discounted Fee: INR 2499 USD 55

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies