TRANSRAUNET: A DEEP NEURAL NETWORK WITH REVERSE ATTENTION MODULE USING HU WINDOWING AUGMENTATION FOR ROBUST LIVER VESSEL SEGMENTATION IN FULL RESOLUTION OF CT IMAGES

TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images

Background: Liver cancer has a high mortality rate worldwide, and clinicians segment liver vessels in CT images before surgical procedures.However, liver vessels have a complex structure, and the segmentation process is conducted manually, so it is time-consuming and labor-intensive.Consequently, it would be extremely useful to develop a deep learn

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Applications of modified dietary fibers in flour products

Flour loses a large amount of dietary fiber (DF) during precision processing, which is STINGING NETTLE LEAF considered an important component of a healthy diet and has various physiological activities.This review introduces the common modification methods of DF and summarizes the change rules and reasons of physical and chemical properties and phys

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Feedback of individual genetic and genomics research results: A qualitative study involving grassroots communities in Uganda.

BackgroundGenetics and genomics research (GGR) is associated with several challenges including, but not limited to, methods and implications of sharing research findings with participants and their family members, issues of confidentiality, and ownership of data obtained from samples.Additionally, GGR holds significant potential risk for social and

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