Skin Cancer Classification Using a Hybrid Pre-trained CNN with Random Forest Classifier

Skin Cancer Classification Using a Hybrid Pre-trained CNN with Random Forest Classifier

Skin cancer, a leading cause of global mortality with 10 million deaths annually, is projected to increase rapidly if not diagnosed early. Traditional diagnosis relies on visual evaluation and histopathology, which are subjective and time-consuming. Recent advances in Convolutional Neural Networks (...

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Bibliographic Details
Main Authors: Okky Darmawan Kostidjan, Yudhi Purwanto, Anny Yuniarti
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-08-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
skin cancer
classification
cnn pre-trained
hybrid model
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/5857
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