Your browser doesn't support javascript.
loading
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network.
Shetty, Bhuvaneshwari; Fernandes, Roshan; Rodrigues, Anisha P; Chengoden, Rajeswari; Bhattacharya, Sweta; Lakshmanna, Kuruva.
Afiliación
  • Shetty B; Department of Computer Science and Engineering, Government Polytechnic for Women, Mangaluru, 575008, India.
  • Fernandes R; Department of Computer Science and Engineering, NMAM Institute of Technology-Affiliated to NITTE (Deemed to be University), Udupi, 574110, India.
  • Rodrigues AP; Department of Computer Science and Engineering, NMAM Institute of Technology-Affiliated to NITTE (Deemed to be University), Udupi, 574110, India.
  • Chengoden R; School of Information Technology and Engineering, VIT, Vellore, 632014, India.
  • Bhattacharya S; School of Information Technology and Engineering, VIT, Vellore, 632014, India.
  • Lakshmanna K; School of Information Technology and Engineering, VIT, Vellore, 632014, India. lakshman.kuruva@vit.ac.in.
Sci Rep ; 12(1): 18134, 2022 10 28.
Article en En | MEDLINE | ID: mdl-36307467
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades de la Piel / Neoplasias Cutáneas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: India
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades de la Piel / Neoplasias Cutáneas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: India