AI Enabled Label Distribution Aware Margin Loss function for skin cancer Detection
Article No.: 80, Pages 1 - 5
Abstract
Artificial Intelligence (AI) is essentially described as a field of computer science that uses systems and technology to speed up the wisdom of human nature. Recently, AI has attracted the most attention from developers to be used in diagnosing skin cancer. This research focuses on the building of an AI-enabled Label Distribution Aware Margin Loss function (LDAM) that can efficiently diagnose skin cancer. DenseNet-121 is used as a base model to apply the Label Distribution Aware Margin Loss function. DenseNet has the capability to concatenate features coming from different layers. LDAM Loss function has the capability to deal with the issue of data imbalance. The experimental work was performed on the ISIC-2018 Dataset. The proposed model scored a Balanced accuracy of 85.3% which is better than other state-of-the-art methods.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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