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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N-(4-Chlorophenyl)-4-nitrobenzamide

The title compound, C13H9ClN2O3, is almost planar, showing a dihedral angle of clear zig zag pet gate 4.63 (6)° between the aromatic ring planes.The nitro group also lies in the plane, the C—C—N—O torsion angle being 6.7 (2)°.There is an oval hexagon glass jar intamolecular C&#

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Validation of the modified Rankin Scale in Russia

Objective: to develop a Russian version of the modified Rankin Scale (mRS) and to assess its psychometric properties.Patients and methods.The investigation involved 50 patients (25 women, 25 men) over 18 years of age (mean age, 56 years) with an acute cerebrovascular accident diagnosis.During the validation procedure, the authors carried out the li

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