Biomedical Imaging

Interpretation of Attention Mechanisms in Medical Imaging

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Interpretation of Attention Mechanisms in Medical Imaging

Click the above“Beginner Learning Vision” and select toStar or “Pin” Important information delivered first time Source｜Daniel Liu@Zhihu, https://zhuanlan.zhihu.com/p/138555896 Multi-scale self-guided attention for medical image segmentation The method in this paper is the optimal method for medical image segmentation on the CHAOS MRI Dataset published in 2019, with a final Dice score of 86.75. Introduction: Views … Read more

Summary of Medical Image Data Reading and Preprocessing Methods

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Summary of Medical Image Data Reading and Preprocessing Methods

Click on the "Xiaobai Learns Vision" above, select to add "Star" or "Pin" Heavyweight content delivered to you first Author丨Li Muqing@Zhihu Source丨https://zhuanlan.zhihu.com/p/112176670 Editor丨Jishi Platform This article is for academic reference only. If there is any infringement, please contact the editor to delete the article. Jishi Guide I personally believe that in the field of medical … Read more

Diffusion Tensor Imaging (DTI) in Medical Imaging

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Diffusion Tensor Imaging (DTI) in Medical Imaging

Forum Introduction Magnetic resonance diffusion imaging technology is currently the only method to measure the diffusion of water molecules in vivo. The most commonly used methods include diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI). DTI has excellent imaging effects in the central nervous system, especially in distinguishing white matter from gray matter and … Read more

Diffusion Tensor Imaging (DTI)

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Diffusion Tensor Imaging (DTI)

Medical Imaging Students Learning together, progressing together. Diffusion refers to a microscopic, random motion of molecules caused by thermal energy, also known as Brownian motion. The different structures of human tissues lead to variations in the restrictions on the diffusion movement of water molecules in different directions. If the restricted diffusion of water molecules is … Read more

Classification of Gastrointestinal Dysfunction (AGI)

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Classification of Gastrointestinal Dysfunction (AGI)

According to the severity of gastrointestinal dysfunction, gastrointestinal dysfunction (AGI) can be classified into four levels, each corresponding to different treatment measures: AGI Level I: There is a clear etiology leading to temporary partial gastrointestinal dysfunction, manifested as temporary and self-limiting, with the risk of gastrointestinal dysfunction and failure. For example: nausea and/or vomiting occurring … Read more

Cerebral Cavernous Malformations (CCM) Overview

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Cerebral Cavernous Malformations (CCM) Overview

Forum Introduction: Common types of vascular malformations include cerebral cavernous malformations (CCM), capillary telangiectasia, developmental venous anomalies (DVA), and arteriovenous malformations (AVM). CCM is a common congenital vascular malformation of the brain and is the second most common vascular malformation in the central nervous system. Its incidence ranges from 0.16% to 0.5%, accounting for 5% … Read more

Advancements in Computer Vision Applications in Anesthesiology

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Advancements in Computer Vision Applications in Anesthesiology

Li Haopeng, Wang Yu, Yao Shanglong Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 International Journal of Anesthesiology and Resuscitation, 2023, 45(03): 313-316. DOI: 10.3760/cma.j.cn321761-20230914-01001 REVIEW ARTICLES [Review] Computer Vision (CV) technology has been widely applied in various fields of medical diagnosis and treatment. In recent years, … Read more

Leveraging TensorFlow.js in Medical Imaging

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Leveraging TensorFlow.js in Medical Imaging

Guest Blog Author: Dr. Erwin John T. Carpio As a physician and radiologist, I have always wanted to learn and develop machine learning models and apply them to my field. However, machine learning felt like a foreign language to me, and with my limited programming experience and non-computer science background, I thought it was challenging … Read more

Understanding U-Net: A Comprehensive Guide to Image Segmentation

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Understanding U-Net: A Comprehensive Guide to Image Segmentation

This article will cover the essence of U-Net principles of U-Net and its applications in three aspects to help you understand the image segmentation network | U-Net. U-Net 1. U-Net essence Definition of U-Net:A convolutional neural network based on deep learning, mainly used for image segmentation tasks, especially the segmentation of biomedical images.It consists of … Read more