https://asunaprevirinhibitor.c....om/cytochrome-p450-t
Manually labeled image sets, differentiated by illumination conditions, were randomly split into training, validation, and testing datasets, with respective proportions of 70%, 15%, and 15% of the total data. Four illumination types were distinguished by algorithms such as MobileNetV2, ResNet50, LeNet, AlexNet, multilayer perceptrons, and k-nearest neighbors, which were pre-trained for this classification task. The algorithm's performance, including accuracy, F1 score, and area under the receiver op
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