Brain Tumor Segmentation Using Neural Networks convolutional (CNN)
General Information:
MASTER |
Level |
Brain Tumor Segmentation Using Neural Networks convolutional (CNN) |
Title |
software engineer |
Specialty |
Cover Page:
Outline:
General Introduction Chapter 1 the Medical Context Introduction to Brain Cancert Tumors Types of Brain Diagnostic and Imaging Techniques Importance of MRI Imaging in Diagnosis Current Challenges in Brain Tumor Segmentation Chapter 2 Deep Learning and Segmentation Introduction to Deep Learning Crucial Concepts of Neural Networks Image Segmentation Techniques Preprocessing Techniques of MRI Images Evaluating Segmentation Performance Chapter 3 Related Work Literature Review on Brain Tumor Segmentation Comparison of Approaches Limitations of Classical Techniques Conclusion Chapter 4 Our Architecture Introduction Tools Used Dataset Used Transfer Learning The CNN Model Used Proposed Methodology Results and Discussion Conclusion General conclusion Bibliography
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