ADHD – Presentation Week 3 Arjun Watane Soumyabrata Dey

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%

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

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.

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

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

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