Published November 5, 2020 | Version v1
Dataset Open

Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm - deep net Matlab

Authors/Creators

  • 1. Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy
  • 2. Section of Pathological Anatomy, Department of Health Sciences, University of Florence, Florence, Italy
  • 3. Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy
  • 4. Department of Medical, Surgical, and Experimental Sciences, University of Sassari, Sassari, Italy
  • 5. Institute of Clinical Physiology, National Research Council, Pisa, Italy

Description

The file is the trained convolutional neural network (CNN) developed in "De Logu, Francesco, et al. "Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm." Frontiers in Oncology 10 (2020)". The CNN is based on a pretrained Inception-ResNet-v2 to automatically recognizes cutaneous melanoma from histopathological digitalized slides. The file is in a Matlab format (.mat).

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md5:e35c3e3ed3e84171b7dd9951f73a7c32
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Additional details

Related works

Is part of
Journal article: 10.3389/fonc.2020.01559 (DOI)