ACCURATE GASTRIC CANCER SEGMENTATION IN DIGITAL PATHOLOGY IMAGES USING DEFORMABLE CONVOLUTION AND MULTI-SCALE EMBEDDING NETWORKS

Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks

Automatic gastric cancer segmentation is a challenging problem in digital pathology image analysis.Accurate segmentation of gastric cancer regions can efficiently facilitate clinical diagnosis and pathological research.Technically, this problem suffers from various sizes, vague boundaries, and the non-rigid characters of cancerous regions.For addre

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Distortions in contemporary art (painting)

The article highlights the connection between inner and outer world, between portrait, as a classical artistic genre in painting, and particular psychological aspects which exerts influence upon painting style, Brush Set technique, methodological procedure and last but not least upon the concept that articulates in a coherent manner the narrative t

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Employing mesh segmentation algorithms as fabrication strategies: Pattern generation based on reaction-diffusion mechanism

This paper examines how the evolution of architectural generative design processes aim to apply similar physical and geometrical principles of biological processes taking place during development and to translate them to fabrication processes.In analogy to the reaction-diffusion mechanism for biological pattern prediction, the logic of stripe is us

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PERCEPTION OF THE JUDICIARY LAW BY THE LAW-MAKER

Objective: to develop conceptual-theoretical provisions and scientific recommendations for the implementation of judiciary decisions in the legislation of the Russian Federation.Methods: universal dialectic method of cognition, as well as the general scientific and private research methods based on it.Results: the necessity to analyze the fundament

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