Recent years have witnessed a rapid development in the field of structural coloration, colors
generated from the interaction of nanostructures with light. Compared to conventional color …

Background Accurate detection of brain metastasis (BM) is important for cancer patients. We
aimed to systematically review the performance and quality of machine-learning-based BM …

The rapid selection of salinity‐tolerant crops to increase food production in salinized lands is
important for sustainable agriculture. Recently, high‐throughput plant phenotyping …

Abstract Generalized Zero-Shot Learning (GZSL) has emerged as a pivotal research domain
in computer vision, owing to its capability to recognize objects that have not been seen …

Convolutional neural networks have become the most widely used tool for computer vision
applications like image classification, segmentation, object localization etc. Recent studies …

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

Medical image classification is a very fundamental and crucial task in the field of computer
vision. These years, CNN-based and Transformer-based models are widely used in …

Modern deep CNN face matchers are trained on datasets containing" color" images. We
show that such matchers achieve essentially the same accuracy on color images when …

Stain variations often decrease the generalization ability of deep learning based
approaches in digital histopathology analysis. Two separate proposals, namely stain …

Thermography is a useful imaging technique as it works well in poor visibility conditions.
High-resolution thermal imaging sensors are usually expensive and this limits the general …