Multiple Organ Detection in CT Volumes using CNN Week 3 REU Student: Elizabeth Cole Mentor: Sarfaraz...
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Transcript of Multiple Organ Detection in CT Volumes using CNN Week 3 REU Student: Elizabeth Cole Mentor: Sarfaraz...
Multiple Organ Detection in CT Volumes using CNN
Week 3
REU Student: Elizabeth ColeMentor: Sarfaraz Hussein
Progress
• Organ annotations• Attempt to get other organ segmentation
data• FaceNet face identification paper
Organ Annotations
• 151 Total• 40 people/26% done; 4 organs per person• Split between 5 people• Difficulties due to indistinct organ boundaries,
irregularities in organs, qualities of CT scan, different people sizes
Previously Segmented Data
• Attempts to obtain liver segmentation data from Sliver 07; linked to MICCAI 2007– Time delay in registration
• 47 liver segmentations from Shape 2015; endorsed by MICCAI– Difficulties opening files– Cannot use due to solely liver, not full body scans
Google: FaceNet
• CVPR 2015: Florian Schroff, Dmitry Kalenichenko, James Philbin
• Face recognition, verification, clustering• Map faces onto compact Euclidean space• Triplets: two matching faces and one non-
matching face• Separate matches by a distance margin• 99.63% accuracy = Labeled Faces in the Wild• 95.12% accuracy = Youtube Faces Database– Reduce DeepFace error by almost half
Method/Results
Future Work
• Finish enough organ annotations to begin training
• Get other forms of organ segmentation data• Training CNN