Building medical image classifiers with very limited data using segmentation networks
Sign Up to like & getrecommendations! Published in 2018 at "Medical Image Analysis"
DOI: 10.1016/j.media.2018.07.010
Abstract: HighlightsBuilding medical image classifiers using features from segmentation networks.Important for 3D image analysis as ImageNet pre‐trained CNNs are unavailable in 3D.Tested on 3D brain tumor type and 2D cardiac semantic level classifications.Compared to classifiers trained… read more here.
Keywords: image; classification; segmentation networks; image classifiers ... See more keywords
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2019.2903943
Abstract: Deep Neural Networks (DNNs) have been extensively used in multiple disciplines due to their superior performance. However, in most cases, DNNs are considered as black-boxes and the interpretation of their internal working mechanism is usually… read more here.
Keywords: interpretation; model; deepvid deep; image classifiers ... See more keywords