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Deep learning in medical hyperspectral images: A review
R Cui, H Yu, T Xu, X ** convolutional fusion network for hyperspectral image classification
Convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI)
classification due to their ability to extract image features effectively. However, under the …
classification due to their ability to extract image features effectively. However, under the …
An improved hunter-prey optimizer-based DenseNet model for classification of hyper-spectral images
In this chapter, the authors offer an already-trained CNN model for HSI classification. By fine-
tuning the parameters, the suggested DenseNet model classification accuracy is increased …
tuning the parameters, the suggested DenseNet model classification accuracy is increased …
[HTML][HTML] Staging of skin cancer based on hyperspectral microscopic imaging and machine learning
Skin cancer, a common type of cancer, is generally divided into basal cell carcinoma (BCC),
squamous cell carcinoma (SCC) and malignant melanoma (MM). The incidence of skin …
squamous cell carcinoma (SCC) and malignant melanoma (MM). The incidence of skin …