Comparing the capabilities of transfer learning models to detect skin lesion in humans.

Singhal, Aditi; Shukla, Ramesht; Kankar, Pavan Kumar; Dubey, Saurabh; Singh, Sukhjeet; Pachori, Ram Bilas

Singhal, Aditi; Shukla, Ramesht; Kankar, Pavan Kumar; Dubey, Saurabh; Singh, Sukhjeet; Pachori, Ram Bilas.

Afiliação

Singhal A; Department of Electronics Engineering, Bharati Vidyapeeth (Deemed to be) University, College of Engineering Pune, Pune, India.
Shukla R; Department of Electronics Engineering, Bharati Vidyapeeth (Deemed to be) University, College of Engineering Pune, Pune, India.
Kankar PK; System Dynamics Lab, Discipline of Mechanical Engineering, Indian Institute of Technology Indore, Indore, India.
Dubey S; Government MGM Medical College & Maharaja Yashwantrao Hospitals-MYH, Indore, India.
Singh S; Machinery Fault Diagnostics and Signal Processing Laboratory, Department of Mechanical Engineering, Guru Nanak Dev University, Amritsar, India.
Pachori RB; Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India.

Proc Inst Mech Eng H ; 234(10): 1083-1093, 2020 Oct.

Article em En | MEDLINE | ID: mdl-32643539

Assuntos

Redes Neurais de Computação; Neoplasias Cutâneas; Humanos; Aprendizado de Máquina; Pele; Neoplasias Cutâneas/diagnóstico

Palavras-chave

Skin lesion; Wiener filter; image grayscaling; image quantization

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Redes Neurais de Computação Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google