Genetic programming for automatic skin cancer image classification

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Title

Genetic programming for automatic skin cancer image classification

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Developing a computer-aided diagnostic system for detecting various types of skin malignancies from images has attracted many researchers. However, analyzing the behaviors of algorithms is as important as developing new systems in order to establish the effectiveness of a system in real-time situations which impacts greatly how well it can assist the dermatologist in making a diagnosis. Unlike many machine learning approaches such as Artificial Neural Networks, Genetic Programming (GP) automa...

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Format

Research paper

Research format

Scholarly text / Journal article

Date created

2022

Creator

QU Ain / Harith Al-Sahaf / Bing Xue / Mengjie Zhang

URL

https://figshare.com/articles/journal_contribution/Genetic_programming_for_automatic_skin_cancer_...

Related subjects

Engineering / Information and computing sciences / Artificial intelligence / Data management and data science / Machine learning / Mathematical sciences / Image classification / Genetic programming / Dimensionality reduction / Feature selection / Feature construction / Data Management and Data Science / Information and Computing Sciences / Artificial Intelligence / Machine Learning / Bioengineering / Detection, screening and diagnosis / .1 Discovery and preclinical testing of markers and technologies / Artificial Intelligence & Image Processing

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