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A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images
We present a new approach to segment and classify bacterial spore layers from Transmission Electron Microscopy (TEM) images using a hybrid Convolutional Neural Network (CNN) and Random Forest (RF) classifier algorithm. This approach utilizes deep learning, with the CNN extracting features from image...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618482/ https://www.ncbi.nlm.nih.gov/pubmed/37907463 http://dx.doi.org/10.1038/s41598-023-44212-5 |