1. Multiple Organ Detection in CT Volumes using CNN Week 3
REU Student: Elizabeth Cole
Mentor: Sarfaraz Hussein

2. Progress Organ annotations
Attempt to get other organ segmentation data
FaceNet face identification paper

3. 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

4. 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

5. 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

6. Method/Results

7. Future Work Finish enough organ annotations to begin training
Get other forms of organ segmentation data
Training CNN