A Self-Adaptive Discriminative Autoencoder for Medical Applications

Computer aided diagnosis (CAD) systems play an essential role in the early detection and diagnosis of developing disease for medical applications. In order to obtain the highly recognizable representation for the medical images, a self-adaptive discriminative autoencoder (SADAE) is proposed in this...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 32; H. 12; S. 8875 - 8886
Hauptverfasser:	Ge, Xiaolong, Qu, Yanpeng, Shang, Changjing, Yang, Longzhi, Shen, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autoencoder network computer aided diagnosis Data mining Deep learning Diagnosis Face recognition Feature extraction Feature recognition Image quality Measurement Medical diagnostic imaging Medical imaging metric learning Object recognition Representations Subspaces Teaching methods
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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