Article

A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images

2023-04-03

Abstract excerpt

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 images, and the RF classifier using those features for classification. The proposed model achieved 73% accuracy, 64% preci...

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Literature Corpus work: 2b856b52-0c4c-5d79-840d-09a7a015020f
DOI: 10.1101/2023.04.03.535316

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