The correct use of Chinese herbal medicine, including identification and classification, is crucial to the life safety of patients. Recently, deep learning has achieved advanced performance in image ...

Automatic classification of traditional Chinese medicine (TCM) images using deep learning has important application value as widely used in medical, teaching, and other fields. However, there is a ...

We hypothesise that image analysis is a cost-effective tool to associate complex features of tissue organisation with molecular and outcome data and to resolve unclassifiable or heterogeneous cases.

The quality of input images significantly affects the outcome of automated diabetic retinopathy (DR) screening systems. Unlike the previous methods that only consider simple low-level features such as ...

In addition, the post-processing adopted to obtain the image-level classification (i.e., majority voting) allowed to further increase the performance of the deep learning model with an accuracy of ...