Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities

Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities

Deep learning (DL) methods are increasingly being applied for developing reliable computer-aided detection (CADe), diagnosis (CADx), and information retrieval algorithms. However, challenges in interpreting and explaining the learned behavior of the DL models hinders their adoption and use in real-w...

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Bibliographic Details
Main Authors: Incheol Kim, Sivaramakrishnan Rajaraman, Sameer Antani
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Diagnostics
Subjects:
class-selective relevance mapping
convolutional neural network
modality classification
visual localization
discriminative region of interest
Online Access:https://www.mdpi.com/2075-4418/9/2/38

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https://www.mdpi.com/2075-4418/9/2/38

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