Course Details

Back To All Courses
Course Image

Course Overview

Learn Medical Image Processing with Machine Learning - Batch 2 πŸ©ΊπŸ’»

Course Code: MC35001
Course Title: Learn Medical Image Processing with Machine Learning
Start Date: October 15, 2025 πŸ“…
Duration: 6 weeks (24 hours) ⏰
Mode: Blended (online + in-person labs or fully online) 🌐
Class Size: Max 30 participants πŸ‘₯
Course Equivalent: 2 Credit Hours

Course Fee πŸ’Έ

  • Discount Price: 3,500 BDT; Regular Price: 5,000 BDT

Course Description πŸ©»
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. πŸš€

Learning Outcomes βœ…
Participants will:

  • Process medical images (MRI, CT, X-rays) using Python. πŸ–₯️

  • Apply preprocessing, segmentation, and feature extraction. πŸ› οΈ

  • Train ML/DL models for diagnostic classification. πŸ€–

  • Build a complete medical imaging pipeline. πŸ”„

  • Create a publication- or deployment-ready capstone project. πŸ“œ

  • Prepare for health tech or AI research careers. 🌟

Target Audience πŸŽ“

  • Final-year undergrad/postgraduate students (CSE, BME, EEE).

  • Medical professionals, radiologists, biomedical engineers.

  • Data scientists, AI enthusiasts interested in healthcare.

Entry Requirements πŸ“‹

  • Basic Python programming.

  • Basic ML/image processing knowledge (helpful, not mandatory).

  • Minimum age: 18 years.

Career Pathways πŸš€

  • Careers in health tech, AI startups, clinical data science.

  • Research roles in biomedical/computer vision fields.

  • Foundation for MSc/PhD in related disciplines.

Course Details
Duration: 15 Oct 2025 - 31 Dec 2025
Faculty: Science and Information Technology
Level: Beginner to Advanced
Mode: Online
Price: 3500 BDT 5000
Your Instructors
Instructor
Dr. S M Hasan Mahmud

Associate Professor, Software Engineering, Daffodil International University
Instructor
Md. Tarek Aziz

AI Engineer, ATI Limited
What You'll Learn
  • Module 1: Intro & Image Handling: Medical imaging formats, tools (OpenCV, NumPy, pydicom)
  • Module 2: Preprocessing Techniques: Noise reduction, normalization.
  • Module 3: Image Segmentation: Thresholding, region-based methods; Feature Extraction: Shape, texture, statistical features.
  • Module 4: Machine Learning Models: Train classifiers, evaluate performance (ROC, confusion matrix).
  • Module 5: Deep Learning in Imaging: CNNs, transfer learning (VGG, ResNet), Grad-CAM
Ready to Start Learning?

Join thousands of students already enrolled

Lifetime access

Certificate included

30-day money back

Enroll Now