Image texture description and analysis technology are the basis of many practical
applications in pattern recognition. This paper presents a novel and simple, yet powerful …

Convolutional Neural Networks (CNN) have brought spectacular improvements in several
fields of machine vision including object, scene and face recognition. Nonetheless, the …

Breast cancer is a common neoplasm among women. The cure of the disease depends on
early identification and treatment of the tumor to avoid advanced stages such as metastasis …

Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas
have been increasingly developed to assist specialists in their decision-making. On the …

Background and Objective. Skin cancer is the most common cancer worldwide. One of the
most common non-melanoma tumors is basal cell carcinoma (BCC), which accounts for …

Simple Summary The appearance of histology images stained with H&E can vary a lot as a
consequence of changes in the reagents, staining conditions, preparation procedure and …

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 …

Multimodal data fusion is one of the current primary neuroimaging research directions to
overcome the fundamental limitations of individual modalities by exploiting complementary …

In this paper, we propose a novel descriptor called spatially weighted order binary pattern
(SWOBP) for color texture classification. The SWOBP descriptor not only encodes color …

Obtaining relevant classification results for hyperspectral images depends on the quality of
the data and the proposed selection of the samples and descriptors for the training and …