1. ADHD – Presentation Week 3 Arjun Watane Soumyabrata Dey

2. Work accomplished Training set (203), Test set (41) – Size: 64x64 – Detection Rate: 71% Training set (163), Validation set (40) – 32x32 – detection rate = 63% – 64x64 – detection rate = 63%

3. Currently Trying Extracting features – Use on SVM Extracting the final labels of CNN

4. Testing and Validation The accuracy we are receiving is the same ratio as positive images divided by total images Accuracy Received – equals positive images/total images – Example: For 20 images, if 12 are positive The accuracy is 60% - always – for any size.

5. Structural Image Preprocessing Variations in structural image Blurry, contrast difference, outside noise Installing Free Surfer Software

6. Power map feature Training set (148), Validation set (31) – Size: 64x64x3 – Detection rate: 55%

7. Next Week Find out what network is learning Analyze features Improve structural images