Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features
Convolutional neural networks (CNNs) are increasingly being explored and used for a variety of classification tasks in medical imaging, but current methods for post hoc explainability are limited. Most commonly used methods highlight portions of the input image that contribute to classification. Whi...
| Үндсэн зохиолчид: | , , , , , |
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| Формат: | Өгүүллэг |
| Хэл сонгох: | English |
| Хэвлэсэн: |
IEEE
2023-01-01
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| Цуврал: | IEEE Access |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://ieeexplore.ieee.org/document/10015730/ |