Abstract: Cross-scene hyperspectral image classification (HSIC) is limited by domain shift and the paucity of labeled samples. Although dual-classifier domain adaptation methods have achieved good ...

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This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

Abstract: Zero-shot learning models achieve remarkable results on image classification for samples from classes that were not seen during training. However, such models must be trained from scratch ...

ImageClassifier is a Python-based application designed for classifying images using a pre-trained machine learning algorithm. It is specifically tailored for processing FlowCam output and categorizing ...