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Conventional Approach
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Classroom Contents
Deep Learning in Biomedicine - Challenges and Opportunities
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- 1 Intro
- 2 Precisions medicine
- 3 Big data vs. data science
- 4 Precision medicine
- 5 Biomedical data
- 6 Fast technological development
- 7 The Cancer Genome Atlas (TCGA)
- 8 Digital pathology
- 9 Biomedical images
- 10 Medical imaging
- 11 Introduction: Radiomics
- 12 Introduction: Traditional Radiomics
- 13 Semantic Features: Edge shape
- 14 Computational Features: Overview
- 15 Stanford Data Set
- 16 Decision tree modeling
- 17 Classifier: Decision trees
- 18 Introduction: Deep learning
- 19 Deep learning for medicine
- 20 Convolutional Neural Network
- 21 Melanoma diagnosis
- 22 Different types of images
- 23 Lessons learned
- 24 Background and Motivation
- 25 Conventional Approach
- 26 Brain Tumor Segmentation (Brats) Challenge
- 27 Ground truth
- 28 Visualizations
- 29 Overall summary
