Learn Medical Image Processing with Machine Learning - Batch 2 π©Ίπ»
Course Code: MC35001
Course Title: Learn Medical Image Processing with Machine Learning
Start Date: October 15, 2025 π
Duration: 6 weeks (24 hours) β°
Mode: Blended (online + in-person labs or fully online) π
Class Size: Max 30 participants π₯
Course Equivalent: 2 Credit Hours
Course Fee πΈ
Discount Price: 3,500 BDT; Regular Price: 5,000 BDT
Course Description π©»
Learn Medical Image Processing with Machine Learning (MC35001) taps into the transformative power of AI in healthcare, addressing the growing demand for skills in medical image analysis. This hands-on course teaches you to process medical images (MRI, CT, X-rays) using Python and build machine learning/deep learning models for diagnostics. From tumor detection to pneumonia classification, you’ll master preprocessing, segmentation, feature extraction, and model training. Culminating in a capstone project, this course prepares you for careers in health tech, AI startups, or research, with real-world datasets and industry-standard tools. π
Learning Outcomes β
Participants will:
Process medical images (MRI, CT, X-rays) using Python. π₯οΈ
Apply preprocessing, segmentation, and feature extraction. π οΈ
Train ML/DL models for diagnostic classification. π€
Build a complete medical imaging pipeline. π
Create a publication- or deployment-ready capstone project. π
Prepare for health tech or AI research careers. π
Target Audience π
Final-year undergrad/postgraduate students (CSE, BME, EEE).
Medical professionals, radiologists, biomedical engineers.
Data scientists, AI enthusiasts interested in healthcare.
Entry Requirements π
Basic Python programming.
Basic ML/image processing knowledge (helpful, not mandatory).
Minimum age: 18 years.
Career Pathways π
Careers in health tech, AI startups, clinical data science.
Research roles in biomedical/computer vision fields.
Foundation for MSc/PhD in related disciplines.
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