Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network

•A novel CNN framework for the automatic diagnosis of fungal keratitis is proposed.•A normal image is augmented by flipping.•A sub-area contrast stretching algorithm is proposed for image preprocessing.•A histogram matching fusion algorithm is implemented and new databases are formed.•The traditiona...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2020-04, Vol.187, p.105019-105019, Article 105019
Hauptverfasser:	Liu, Zhi, Cao, Yankun, Li, Yujun, Xiao, Xiaoyan, Qiu, Qingchen, Yang, Meijun, Zhao, Yuefeng, Cui, Lizhen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Convolutional neural network Cornea - diagnostic imaging Cornea confocal microscopic images Databases, Factual Deep Learning Diagnosis of fungal keratitis Diagnosis, Computer-Assisted - methods False Positive Reactions Humans Image fusion Image Processing, Computer-Assisted - methods Keratitis - diagnosis Keratitis - microbiology Microscopy, Confocal Mycoses - diagnosis Neural Networks, Computer Pattern Recognition, Automated Reproducibility of Results
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