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DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY
Abstract
The paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure and the way to cope with the insufficient number of learning data. The research was carried out and validated on the data base of over 10000 images. The efficiency of the proposed approach reaches 84%.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Trends in Advanced Intelligent Control, Optimization and Automation strony 848 - 856
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Kwasigroch A., Mikołajczyk A., Grochowski M..: DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY, W: Trends in Advanced Intelligent Control, Optimization and Automation, 2017, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-60699-6_81
- Verified by:
- Gdańsk University of Technology
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