Generation of Augmented Capillary Network Optical Coherence Tomography Image Data of Human Skin for Deep Learning and Capillary Segmentation

Generation of Augmented Capillary Network Optical Coherence Tomography Image Data of Human Skin for Deep Learning and Capillary Segmentation

The segmentation of capillaries in human skin in full-field optical coherence tomography (FF-OCT) images plays a vital role in clinical applications. Recent advances in deep learning techniques have demonstrated a state-of-the-art level of accuracy for the task of automatic medical image segmentatio...

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Bibliografische gegevens
Hoofdauteurs: Bitewulign Kassa Mekonnen, Tung-Han Hsieh, Dian-Fu Tsai, Shien-Kuei Liaw, Fu-Liang Yang, Sheng-Lung Huang
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2021-04-01
Reeks:Diagnostics
Onderwerpen:
full-field optical coherence tomography
skin capillary segmentation
augmented dataset generation
deep learning
U-Net
image binarization
Online toegang:https://www.mdpi.com/2075-4418/11/4/685

Internet

https://www.mdpi.com/2075-4418/11/4/685

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