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GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
This paper presents an ensemble of pre-trained models for the accurate classification of endoscopic images associated with Gastrointestinal (GI) diseases and illnesses. In this paper, we propose a weighted average ensemble model called GIT-NET to classify GI-tract diseases. We evaluated the model on...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376874/ https://www.ncbi.nlm.nih.gov/pubmed/37508836 http://dx.doi.org/10.3390/bioengineering10070809 |