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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity.
Montaha, Sidratul; Azam, Sami; Rafid, A K M Rakibul Haque; Islam, Sayma; Ghosh, Pronab; Jonkman, Mirjam.
  • Montaha S; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
  • Azam S; College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia.
  • Rafid AKMRH; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
  • Islam S; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
  • Ghosh P; Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada.
  • Jonkman M; College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia.
PLoS One ; 17(8): e0269826, 2022.
Article en En | MEDLINE | ID: mdl-35925956
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Aprendizaje Profundo / Melanoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Aprendizaje Profundo / Melanoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article