Multiple Organ Detection in CT Volumes using CNN Week 4

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Presentation transcript:

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

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

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

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

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