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, Peppermint this problem suffers from various sizes, vague boundaries, and the non-rigid characters of cancerous region

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Guanidinium Chloride-Induced Haemolysis Assay to Measure New Permeation Pathway Functionality in Rodent Malaria Plasmodium berghei

Parasite-derived new permeation pathways (NPPs) expressed at the red blood cell (RBC) membrane enable Plasmodium parasites to take up nutrients from the plasma to facilitate their survival.Thus, NPPs represent a potential novel therapeutic target for malaria.The putative channel component of the NPP in the human malaria parasite P.falciparum is enc

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Epigenetic regulation of major histocompatibility complexes in gastrointestinal malignancies and the potential for clinical interception

Abstract Background Gastrointestinal malignancies encompass a diverse group of cancers that pose significant challenges to global health.The major histocompatibility complex (MHC) plays a pivotal role in immune surveillance, orchestrating the recognition and elimination of tumor cells by the immune system.However, the intricate regulation of MHC ge

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