A U-net based approach to epidermal tissue segmentation in whole slide histopathological images

Malignant melanoma is a severe and aggressive type of skin cancer, with a rapid decrease in survival rate if not diagnosed and treated at an early stage. Histopathological examination of hematoxylin and eosin stained tissue biopsies under a light microscope is currently the gold standard for diagnos...

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Veröffentlicht in:	SN applied sciences 2019-07, Vol.1 (7), p.672, Article 672
Hauptverfasser:	Oskal, Kay R. J., Risdal, Martin, Janssen, Emilius A. M., Undersrud, Erling S., Gulsrud, Thor O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied and Technical Physics Artificial neural networks Automation Biopsy Chemistry/Food Science Correlation coefficient Correlation coefficients Diagnosis Diagnostic systems Digital computers Digitization Earth Sciences Engineering Engineering: Artificial Intelligence Environment Epidermis Image processing Image resolution Image segmentation Machine learning Materials Science Medical imaging Melanoma Neural networks Pathology Pixels Research Article Skin cancer Stains & staining Survival
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