Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

Pneumonia affects 7% of the global population, resulting in 2 million pediatric deaths every year. Chest X-ray (CXR) analysis is routinely performed to diagnose the disease. Computer-aided diagnostic (CADx) tools aim to supplement decision-making. These tools process the handcrafted and/or convoluti...

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Hauptverfasser: Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, George Thoma, Sameer Antani
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2018-09-01
Schriftenreihe:Applied Sciences
Schlagworte:
computer vision
computer-aided diagnosis
convolutional neural networks
pediatric
pneumonia
visualization
explanation
chest X-rays
clinical decision
Online Zugang:http://www.mdpi.com/2076-3417/8/10/1715
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