Діагностика медичних зображень пухлин головного мозку з використанням гібридних згорткових нейронечітких мереж
The problem of classification of brain tumors on medical images is considered. For its solution hybrid CNN-ANFIS is developed in which convolutional neural network VGG-16 and ResNetV2_50 are used as feature extractors while ANFIS is used as the classifier. Training algorithms of ANFIS were implement...
Збережено в:
| Дата: | 2020 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Російська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2020
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| Теми: | |
| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/209135 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | The problem of classification of brain tumors on medical images is considered. For its solution hybrid CNN-ANFIS is developed in which convolutional neural network VGG-16 and ResNetV2_50 are used as feature extractors while ANFIS is used as the classifier. Training algorithms of ANFIS were implemented. The experimental investigations of the suggested hybrid network on the standard dataset Brain MRI images for brain tumor detection were carried out and comparison with known results was performed. |
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