A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification.
Labelling medical images is an arduous and costly task that necessitates clinical expertise and large numbers of qualified images. Insufficient samples can lead to underfitting during training and poor performance of supervised learning models. In this study, we aim to develop a SimCLR-based semi-su...
| Publicado en: | Journal of Digital Imaging Vol. 37; no. 5; pp. 2342 - 2354 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |