FSPBO-DQN: SeGAN based segmentation and Fractional Student Psychology Optimization enabled Deep Q Network for skin cancer detection in IoT applications.

Kumar, K Suresh; Suganthi, N; Muppidi, Satish; Kumar, B Santhosh

Kumar, K Suresh; Suganthi, N; Muppidi, Satish; Kumar, B Santhosh.

Afiliación

Kumar KS; Department of Information Technology, Saveetha Engineering College, Chennai, India. Electronic address: sureshkumar@saveetha.ac.in.
Suganthi N; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
Muppidi S; Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, India.
Kumar BS; Department of Computer Science and Engineering, Guru Nanak Institute of Technology, Hyderabad, India.

Artif Intell Med ; 129: 102299, 2022 07.

Article en En | MEDLINE | ID: mdl-35659386

Asunto(s)

Neoplasias Cutáneas; Habla; Algoritmos; Humanos; Procesamiento de Imagen Asistido por Computador/métodos; Neoplasias Cutáneas/diagnóstico por imagen; Estudiantes

Palabras clave

Deep Q Network; Fractional Calculus; Internet of Things; Routing; Skin cancer detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Habla Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos

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