Team: Technische Universitat Munchen, Computer Aided Medical Procedure (CAMP), Munich, Germany
Authors: Bharti Munjal, Amil George, Shadi Albarqouni, Stefanie Demirci, Nassir Navab
The system uses two GoogleNet models trained on levels 6 and 3 respectively. Then, few geometric features are extracted from the response maps, i.e. Area, Orientation, Major/Minor Axis Length, statistical features (max, min, and mean) and fed to a random forest to predict the probability of a slide having a metastasis.
The following figure shows the receiver operating characteristic (ROC) curve of the method.
The following figure shows the free-response receiver operating characteristic (FROC) curve of the method.
The table below presents the average sensitivity of the developed system at 6 predefined false positive rates: 1/4, 1/2, 1, 2, 4, and 8 FPs per whole slide image.