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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Basal cell carcinoma diagnosis with fusion of deep learning and telangiectasia features

Authors: Akanksha Maurya; Ronald J Stanley; Hemanth Y Aradhyula; Norsang Lama; Anand K Nambisan; Gehana Patel; Daniyal Saeed; +5 Authors

Basal cell carcinoma diagnosis with fusion of deep learning and telangiectasia features

Abstract

Telangiectasia masks dataset created on a subset of the ISIC18, ISIC19 training datasets and the NIH study dataset R43 CA153927-01 and CA101639-02A2. All annotations are for Basal Cell Carcinoma lesions. This dataset was used in the publication: " Basal cell carcinoma diagnosis with fusion of deep learning and telangiectasia features " (to be submitted). This is an expanded dataset that was initially used in “A Deep Learning Approach to Detect Blood Vessels in Basal Cell Carcinoma”.

{"references": ["BCN_20000 Dataset: (c) Department of Dermatology, Hospital Cl\u00ednic de Barcelona", "HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161", "MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368", "NIH study dataset R43 CA153927-01 and CA101639-02A2"]}

Keywords

fusion, basal cell carcinoma, skin cancer, deep learning, telangiectasia, transfer learning, BCC

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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