Deep convolutional neural networks as a decision support tool in medical problems – malignant melanoma case study
Autor: | Arkadiusz Kwasigroch, Michał Grochowski, Agnieszka Mikołajczyk |
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Rok vydání: | 2017 |
Předmět: |
Structure (mathematical logic)
Difficult problem Decision support system business.industry Computer science Deep learning 0206 medical engineering 02 engineering and technology Work in process Machine learning computer.software_genre 020601 biomedical engineering Convolutional neural network Learning data 03 medical and health sciences 0302 clinical medicine Artificial intelligence business Transfer of learning computer 030217 neurology & neurosurgery |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319606989 KKA |
Popis: | 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%. |
Databáze: | OpenAIRE |
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