Annika Lindh, Maaike Giezeman, Kersti Theander, Ann-Britt Zakrisson, Elisabeth Westerdahl, Caroline Stridsman
Factors Associated with Patient Education in Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Primary Health Care Register-Based Study
International journal of chronic obstructive pulmonary disease
irreversible progressive atrophy alzheimers disease resulted continuous decline thinking behavioral skills date cnn classifiers widely applied assist early diagnosis ad associated abnormal structures however existing blackbox cnn classifiers relied heavily limited mri scans used little domain knowledge previous clinical findings study proposed framework named pinet consider previous domain knowledge privileged information pi open blackbox prediction process input domain knowledge guides neural network learn representative features introduced intepretability analysis pinet used transformerlike fusion module privileged information fusion pif iteratively calculate correlation features image features pi features project features latent space classification pyramid feature visualization pfv module served verification highlight significant features input images pinet suitable neuroimaging tasks demonstrated application alzheimers disease using structural mri scans adni dataset experiments employed abnormal brain structures hippocampus pi trained model data 15t scanners tested 3t scanners f1score showed pinet robust transferring new dataset approximatedly 2 drop 09471 09231 baseline cnn methods 29 drop 08679 06154 performance pinet relied selection domain knowledge pi best model trained guidance 12 selected rois major structures temporal lobe occipital lobe summary pinet considered domain knowledge pi train cnn model selected pi introduced interpretability generalization ability black box cnn classifiers