AI-Driven Early Detection of Skin Cancer in the USA: A Hybrid Image Processing and Neural Network Approach.

Detalles Bibliográficos
Publicado en:Journal of Medical & Health Studies Vol. 6; no. 3; pp. 108 - 119
Autores principales: Hasan, Md Mehedi, Ghosh, Oishee, Zabir Prince, Ahmed Tamim, Paul, Dipta, Goswamee, Gobinda, Roy, Akash, Saha, Atunu, Sharker, Shakil
Formato: pictorial research tables/charts Journal Article
Publicado: Al-Kindi Center for Research & Development Aug2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: AI-Driven Early Detection of Skin Cancer in the USA: A Hybrid Image Processing and Neural Network Approach.
      aug:
        au:
          Hasan, Md Mehedi
          Ghosh, Oishee
          Zabir Prince, Ahmed Tamim
          Paul, Dipta
          Goswamee, Gobinda
          Roy, Akash
          Saha, Atunu
          Sharker, Shakil
        affil: Department of Electrical and Electronic Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
      sug:
        subj:
          Skin Neoplasms Diagnosis
          Skin Neoplasms Classification
          Artificial Intelligence Utilization
          Early Detection of Cancer
          Diagnosis, Computer Assisted
          Image Processing, Computer Assisted
          Dermoscopy
          United States
          Human
          Neural Networks (Computer)
          Smartphone
          Machine Learning Algorithms
          Diagnostic Imaging
          Image Enhancement
          Decision Support Systems, Clinical
          Sensitivity and Specificity
          Descriptive Statistics
          Reliability
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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