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...

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Detalles Bibliográficos
Autores principales: Qamar, Saqib, Öberg, Rasmus, Malyshev, Dmitry, Andersson, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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