Abstract Purpose of Review Machine learning (ML) enables high-throughput analysis of
multimodal data generated from stem cell experiments such as gene expression data …

Texture classification plays a major role in many computer vision applications. Local binary
patterns (LBP) encoding schemes have largely been proven to be very effective for this task …

The classifier system proposed in this work combines the dissimilarity spaces produced by a
set of Siamese neural networks (SNNs) designed using four different backbones with …

In this work, we present an ensemble for automated music genre classification that fuses
acoustic and visual (both handcrafted and nonhandcrafted) features extracted from audio …

Abstract Background and Objective: Histological images have characteristics, such as
texture, shape, colour and spatial structure, that permit the differentiation of each …

To obtain better productivity in soybean crops, it is essential to use high-quality seeds. The
quality impacts the growing process of the plant. Currently, human specialists perform this …

In this work, we propose an unorthodox approach for describing a given image. Each image
is represented by a feature vector whose elements are the scores assigned to object classes …

Image identification of animals is mostly centred on identifying them based on their
appearance, but there are other ways images can be used to identify animals, including by …

Cell morphology is an important indicator of cell state, function, stage of development, and
fate in both normal and pathological conditions. Cell shape is among key indicators used by …

Today's Image processing tools have matured to a level where its users can effortlessly
modify or enhance the images according to their requirement. A misuse of such tools has …