Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device
Published: 4 February 2022| Version 1 | DOI: 10.17632/5dbht54kw7.1
Contributors:
Sungbo Hwang, , , , Description
The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.
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Institutions
Korea Institute of Toxicology
Categories
Dog, Diagnosis, Machine Learning, Image Database, Dermatosis