TRANSFER LEARNING MODELS COMPARISON FOR DETECTING AND DIAGNOSING SKIN CANCER

TRANSFER LEARNING MODELS COMPARISON FOR DETECTING AND DIAGNOSING SKIN CANCER

Skin cancer is a severe problem that is frequently disregarded. In circumstances of manual examination by a clinician, the human eye is occasionally unable to detect disorders precisely from imaging data. Deep learning techniques are increasingly being used nowadays to solve various problems in our...

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Bibliographic Details
Main Authors: Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Sarkhel H. Taher Karim, Bashdar Abdalrahman Mohammed, Karzan Jaza Ghafoor
Format: Article
Language:English
Published: Zibeline International 2022-11-01
Series:Acta Informatica Malaysia
Subjects:
cnn
convolution neural network
cancer detection
cancer diagnosis
deep learning
machine learning
neural networks
skin cancer
transfer learning
Online Access:https://actainformaticamalaysia.com/archives/AIM/1aim2023/1aim2023-01-07.pdf
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