Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders

Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders

In this research, we present a semi-supervised segmentation solution using convolutional autoencoders to solve the problem of segmentation tasks having a small number of ground-truth images. We evaluate the proposed deep network architecture for the detection of nests of nevus cells in histopatholog...

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Bibliographic Details
Main Authors: Dariusz Kucharski, Pawel Kleczek, Joanna Jaworek-Korjakowska, Grzegorz Dyduch, Marek Gorgon
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
deep learning
autoencoders
semi-supervised learning
computer vision
pathology
epidermis
skin
Online Access:https://www.mdpi.com/1424-8220/20/6/1546

Internet

https://www.mdpi.com/1424-8220/20/6/1546

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