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#60 Segmentation of Brain Tumors from MRI using Deep Learning
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Machine Learning for Engineering & Science Applications | IIT Madras - #60 Segmentation of Brain Tumors from MRI using Deep Learning

Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!

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22 learners

What you'll learn

Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.

This course includes

  • 32 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses the segmentation of brain tumors from magnetic resonance images (MRI) using deep learning techniques. The BRATS dataset is a publicly available, multicentric dataset that is used for brain tumor segmentation. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #BrainTumorSegmentation #MRI #DeepLearning #CNN #BRATS #MICCAI

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