Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
could easily be identified by their shape and location. A post-processing step is added, which employs a model classifying tumor objects (computed as 3D connected components of the FCN output) into true (TP) and false positives (FP). A conventional random forest classifier (RF) is trained, with 256