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 100w products 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 reg

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A comparative life cycle assessment of fiber-reinforced polymers as a sustainable reinforcement option in concrete beams

Environmental awareness and the need for sustainable construction inspired researchers and practitioners to explore innovative alternatives that might reduce greenhouse gas emissions and energy use related to excessive structural work.One such alternative is the utilization of Fiber-Reinforced Polymer (FRP) bars as a reinforcement in reinforced con

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