| Autor: |
PANTERIS, Vasileios, FERETZAKIS, Georgios, KARANTANOS, Panagiotis, KALLES, Dimitris, VERYKIOS, Vassilios V., PANOUTSAKOU, Maria, KARAGIANNI, Eirini, ZOUBOULI, Christina, VGENOPOULOU, Stefani, PIERRAKOU, Aikaterini, THEODORAKOPOULOU, Maria, PAPALOIS, Apostolos E., THOMAIDIS, Thomas, DALAINAS, Ilias, KOUROUMALIS, Elias |
| Zdroj: |
Studies in Health Technology & Informatics; 2023, Vol. 302, p576-580, 5p, 1 Chart, 1 Graph |
| Abstrakt: |
The objective of this study was to compare different convolutional neural networks (CNNs), as employed in a Python-produced deep learning process, used on white light images of colorectal polyps acquired during the process of a colonoscopy, in order to estimate the accuracy of the optical recognition of particular histologic types of polyps. The TensorFlow framework was used for Inception V3, ResNet50, DenseNet121, and NasNetLarge, which were trained with 924 images, drawn from 86 patients. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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