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