Constarium
← Search

Data · dataset · 2025

SkinDisNet: A Multi-Class Clinical Images and Metadata for Skin Disease

Listed in Teesside University Research Data Repository

Purpose : Classification and identification of six different skin disease categories for automatic diagnosis.

Description

Type of data: Image files (512 x 512 pixels) Data format: Joint Photographic Expert Group (JPG) and Comma Separated Values (CSV) file formats Number of classes: Six (Atopic Dermatitis, Contact Dermatitis, Eczema, Scabies, Seborrheic Dermatitis, and Tinea Corporis) Number of images: Preprocessed Folder: 1710 images Augmented Folder: 11970 images Metadata: The metadata associated with each skin lesion is composed of 7 attributes.

All attributes are available in a CSV document. In total, there are 416 patients and 1,710 skin disease images present in the dataset. Each image/sample has a reference to the patient and the skin disease in the metadata.

Read the rest (2 more)

Data Acquisition: Images were captured using smartphone cameras during the patients’ consultations with dermatologists. Data source: Clinical sources: 1. Institution: Rangpur Medical College, City: Rangpur, Country: Bangladesh 2.

Institution: Shahid Syed Nazrul Islam Medical College, City: Kishoreganj, Country: Bangladesh Applications: Skin disease detection and classification, diagnosis systems, medical image analysis, computer vision and more.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Image 75%
Provenance · 1 source records, 17 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/yj3md44hxg.29 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[disease].local:disease:diseaseenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:320205mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Dermatology']
concepts[field].anzsrc:field:460304mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computer Vision']
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title