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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://actainformaticamalaysia.com/archives/AIM/1aim2023/1aim2023-01-07.pdf

Similar Items