Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device

Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device

The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Sungbo Hwang
Format: Dataset
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Sungbo Hwang
description The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.
doi_str_mv 10.17632/5dbht54kw7.1
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17632_5dbht54kw7_1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17632_5dbht54kw7_1</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17632_5dbht54kw7_13</originalsourceid><addsrcrecordid>eNqVjjsOwjAQRN1QIKCk3wvwMd8DIBAHoLcWe5OscBLLuwFxe74SNdVoNO9JY8zYzqd2u1kuZutwrnS9uty2U9s3eRdRhAv2qNw20BaQSCG0JciFGwgshEICnXBTQiBKEAlz82o31gq4xvK5e0zaZQpQ5LaGuovKkshrxvhGPvaVPQ1Nr8AoNPrmwEwO-9PuOAmo6FnJpfw08t3ZuXt_dr_Pzi7_5R9uS1Nw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device</title><source>DataCite</source><creator>Sungbo Hwang</creator><creatorcontrib>Sungbo Hwang</creatorcontrib><description>The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.</description><identifier>DOI: 10.17632/5dbht54kw7.1</identifier><language>eng</language><publisher>Mendeley</publisher><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1892</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/5dbht54kw7.1$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Sungbo Hwang</creatorcontrib><title>Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device</title><description>The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjjsOwjAQRN1QIKCk3wvwMd8DIBAHoLcWe5OscBLLuwFxe74SNdVoNO9JY8zYzqd2u1kuZutwrnS9uty2U9s3eRdRhAv2qNw20BaQSCG0JciFGwgshEICnXBTQiBKEAlz82o31gq4xvK5e0zaZQpQ5LaGuovKkshrxvhGPvaVPQ1Nr8AoNPrmwEwO-9PuOAmo6FnJpfw08t3ZuXt_dr_Pzi7_5R9uS1Nw</recordid><startdate>20220204</startdate><enddate>20220204</enddate><creator>Sungbo Hwang</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20220204</creationdate><title>Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device</title><author>Sungbo Hwang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_5dbht54kw7_13</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Sungbo Hwang</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sungbo Hwang</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device</title><date>2022-02-04</date><risdate>2022</risdate><abstract>The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.</abstract><pub>Mendeley</pub><doi>10.17632/5dbht54kw7.1</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.17632/5dbht54kw7.1
ispartof
issn
language eng
recordid cdi_datacite_primary_10_17632_5dbht54kw7_1
source DataCite
title Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T15%3A25%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Sungbo%20Hwang&rft.date=2022-02-04&rft_id=info:doi/10.17632/5dbht54kw7.1&rft_dat=%3Cdatacite_PQ8%3E10_17632_5dbht54kw7_1%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true