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PURPOSE: To develop and validate an automated computational tool for calculating a slice-specific volume computed tomography (CT) dose index (CTDIvol), a water-equivalent diameter (Dw), and size-specific dose estimates (...

Abstract Objective Given the distinct intratumoral heterogeneity of glioblastoma (GB) and solitary brain metastasis (SBM), habitat-based radiomics derived from neurite orientation dispersion and density imaging (NODDI) m...

The object of the study is gastrodiplomacy as a component of the state’s strategic communications within the global environment. The aim of the research is to provide a comprehensive analysis of gastrodiplomacy as a to...

Partiendo de referencias teóricas relativas a la concepción de lo imaginal, es decir, los modos de constitución de los cuerpos y las sexualidades mediante imágenes, el análisis particular se concentrará en la pelí...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Abstract Background Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these ...

Accurate RNA quantification at the single-cell level is critical for understanding the dynamics of gene expression and regulation across space and time. Single molecule FISH (smFISH), such as RNAscope, provides spatial a...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

Objectives: Deep learning networks have achieved significant progress in caries diagnosis, but automated localization and numbering of carious teeth in cone-beam computed tomography (CBCT) images remain underexplored. Th...

This study is based on a comparative and contrastive analysis of a hetero-semiotic pair: Guy de Maupassant’s short story Boule de Suif and its graphic novel adaptation by Li-An, published by Delcourt in 2009. The centr...

This paper examines American novelist Madeline Miller’s Circe through an eco-feminist lens, drawing on Helene Cixous’ concepts in “The Laugh of Medusa.” By revisiting and retelling the myth from a female perspect...

Tumors are a deadly condition often triggered by a range of abnormal modifications and genetic abnormalities. Early tumor diagnosis is essential due to the highly concerned nature of the disease. Early detection and trea...

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

Abstract Understanding the composition of the tumor microenvironment is critical for cancer research. Spatial transcriptomics profiles gene expressions in spatial context, revealing tissue architecture and cellular heter...

La présente étude a pour objet l’analyse du récit de droit présent dans l’œuvre juridique d’Alphonse X, en particulier dans les Siete Partidas. Dans cette œuvre, le récit en question est centré sur le conce...

This article presents the results of an empirical study of the psychological characteristics of self-perception and self-esteem among Ukrainian refugee women who were forced to relocate to Germany after the full-scale Ru...

Stereotypes profoundly influence communication dynamics, particularly within the intricate relationship between a brand and its consumers. This study explores the intersection of "Country-of-Origin" stereotypes and their...

In a general context we introduce image processing with 1-dimensional wavelets and show the diferences with nonseparable 2-dimensional wavelets having quincunx decimation, in the first place, and with balanced nonseparab...

There is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test t...

The algorithmical architecture and structure is presented for the parallelization of image similarity analysis, based on obtaining multiple digital signatures for each image, in which each "signature" is composed by the ...

Complementary DNA (cDNA) microarrays are a powerful high throughput technology developed in the last decade allowing researchers to analyze the behaviour and interaction of thousands of genes simultaneously. The large am...

Segmentation is often a critical step in image analysis. Microscope image components show great variability of shapes, sizes, intensities and textures. An inaccurate segmentation conditions the ulterior quantification a...

Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Features analysis of the carpal bones can reveal the important information for skeletal age assessment....