Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
69.059 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Teoria del Senyal i Comunicacions
  • Reports de recerca
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Teoria del Senyal i Comunicacions
  • Reports de recerca
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

BCN20000: dermoscopic lesions in the wild

Thumbnail
View/Open
BCN20000__Dermoscopic_Lesions_in_the_Wild_Abstract.pdf (4,517Mb)
  View UPCommons Usage Statistics
  LA Referencia / Recolecta stats
Includes usage data since 2022
Cita com:
hdl:2117/175069

Show full item record
Combalia, Marc
Codella, Noel C. F.
Rotemberg, Veronica
Vilaplana Besler, VerónicaMés informacióMés informacióMés informació
Document typeResearch report
Defense date2019
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Clínic in Barcelona. With this dataset, we aim to study the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions found in hard-to-diagnose locations (nails and mucosa), large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. The BCN20000 will be provided to the participants of the ISIC Challenge 2019 [8], where they will be asked to train algorithms to classify dermoscopic images of skin cancer automatically.
CitationCombalia, M. [et al.]. "BCN20000: dermoscopic lesions in the wild". 2019. 
URIhttp://hdl.handle.net/2117/175069
Collections
  • Departament de Teoria del Senyal i Comunicacions - Reports de recerca [208]
  • GPI - Grup de Processament d'Imatge i Vídeo - Reports de recerca [19]
  View UPCommons Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
BCN20000__Dermo ... s_in_the_Wild_Abstract.pdf4,517MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Metadata under:Metadata under CC0
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina