Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in recognizing image anomalies, these methods still prove incapable of handling complex images, such as those encountered in the medical domain. Barely...

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Bibliographic Details
Main Authors: Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
autoencoders
chest X-rays
radiology
digital pathology
Online Access:https://ieeexplore.ieee.org/document/9521238/

Internet

https://ieeexplore.ieee.org/document/9521238/

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