1. Multiple Organ Detection in CT Volumes using CNN Week 4
REU Student: Elizabeth Cole
Mentor: Sarfaraz Hussein

2. Progress
Training the 2D-CNN network to be used as a feature extractor on the 52 liver CT dataset
Exploring papers which use CNN in medical imaging to find the size of dataset which they use
Annotation of around 15 subjects

3. Data Feature Extraction Classification
Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) data collection
Focused on liver but captures other organs as well
52 patients
Classification
151 full body CT annotated images

4. Training 2D Feature Extractor
Using MatConvNet; vl_simplenn
Pretrained ImageNet model
Extracting features from two layers
Train SVM classifiers using linear SVM

5. Future Work Finish 2D CNN training Begin 3D CNN training
Continue annotations
Confidence fusion