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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 32; číslo 12; s. 8875 - 8886
Hlavní autori:	Ge, Xiaolong, Qu, Yanpeng, Shang, Changjing, Yang, Longzhi, Shen, Qiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!