OCT Retinopathy Classification via a Semi-Supervised Pseudo-Label Sub-Domain Adaptation and Fine-Tuning Method

OCT Retinopathy Classification via a Semi-Supervised Pseudo-Label Sub-Domain Adaptation and Fine-Tuning Method

Conventional OCT retinal disease classification methods primarily rely on fully supervised learning, which requires a large number of labeled images. However, sometimes the number of labeled images in a private domain is small but there exists a large annotated open dataset in the public domain. In...

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Bibliographic Details
Main Authors: Zhicong Tan, Qinqin Zhang, Gongpu Lan, Jingjiang Xu, Chubin Ou, Lin An, Jia Qin, Yanping Huang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
optical coherence tomography
retinopathy classification
deep learning
transfer learning
sub-domain adaptation
Online Access:https://www.mdpi.com/2227-7390/12/2/347

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https://www.mdpi.com/2227-7390/12/2/347

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