Training deep Convolutional Neural Networks (CNNs) presents challenges in terms of memory requirements and computational resources, often resulting in issues such as model overfitting and lack of generalization.These challenges can only be mitigated by using an excessive number of training images.However, medical image datasets commonly suffer from
Tetraspanins (Tspans) comprise a membrane protein family structurally defined by four transmembrane domains and intracellular N and C termini that is found in almost all cell types and tissues of eukaryotes.Moreover, they are involved in a bewildering multitude of diverse biological processes such as cell adhesion, motility, protein trafficking, si
The image captioning task is increasingly prevalent in artificial intelligence Panel mount applications for medicine.One important application is clinical report generation from chest radiographs.The clinical writing of unstructured reports is time consuming and error-prone.An automated system would improve standardization, error reduction, time co
In this review, we tried to summarize the results of all more or less noticeable works carried out SHOWER CADDY in recent years and devoted to the search for ecological factors influencing the corolla color in flowering plants.The influence of various factors on corolla color has been established, including temperature, precipitation, soil characte