Dear teachers and friends, it’s time for another session on the basic operations and parameters of magnetic resonance imaging. In previous articles, we introduced some meanings of the Philips MRI operating interface, the names and significance of scanning sequences, the operation of Geometric parameters, and the meaning of Contrast. In this issue, we will continue … Read more
This article contains 1661 words, 2 images, and three related articles, with a suggested reading time of 8 minutes. Should Diffusion Weighted Imaging (DWI) be translated as ‘扩散加权成像’ or ‘弥散加权成像’? Authors: Ma Chao, Department of Imaging Medicine, Shanghai Changhai Hospital Li Mao, Philips RadOnc Application Training Manager I initially thought the article I published yesterday … Read more
Introduction DNA damage promotes hematopoietic stem cell (HSC) aging, but the underlying molecular mechanisms are not fully understood. On April 17, 2024, the team led by Wang Jianwei from the Chinese Academy of Medical Sciences Blood Disease Hospital (Institute of Hematology, Chinese Academy of Medical Sciences), with Dr. He Hanqing as the first author, published … Read more
This article is prohibited from being reproduced without authorization. Following the previous article: Latest review: Various traumatic anatomy and MRI reading techniques of the wrist, packed with useful information! Abstract The anatomy of the wrist and hand is complex, containing many small structures. Magnetic Resonance Imaging (MRI) is the ideal imaging modality for assessing various … Read more
The Verdan classification of the finger extensor tendons. The anatomical distribution of extensor tendon regions: extrinsic extensors (regions VIII-X), wrist extensor region (region VII), dorsal hand (region VI), metacarpophalangeal (MCP) region (region V), proximal phalanx (region IV), proximal interphalangeal region (region III), middle phalanx (region II), and distal interphalangeal region (region I). The topography classification … Read more
※※Building a Medical Imaging Platform for Imaging Professionals※※ ◎Make Learning a Habit◎Make Knowledge an Essence ◎Make Expertise a Communication◎Let Us Become Lifelong Friends ※※※※※※※※※※※※※※※※※※※※※ A few days ago, I stumbled upon a piece of literature that piqued my interest while searching through references, so I decided to read it. Why was I interested? Initially, I … Read more
1. Tool Introduction 1.1 Main Features ACT（Atman Cloud Translation, Atman Cloud Translation）is an online translation tool focused on the medical field, helping professionals in the pharmaceutical industry and professional translators to break free from cumbersome CAT tools, quickly improving translation speed and accuracy. The self-developed medical machine translation engine by Atman is trained on hundreds … Read more
Today, I will share the improved model GER-UNet, which is based on the 2020 paper “Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.” By understanding the ideas behind this model, similar improvements can be made based on VNet. 1. Limitations of Conventional Convolutional Networks 1. Conventional convolutional neural networks can only utilize … Read more
Today, I will share the improved model DC-UNet, which is based on the U-Net architecture. The improvement comes from the 2020 paper titled “DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation.” By understanding the concept of this model, similar improvements can be made based on VNet. 1. Original UNet … Read more
Most applications of artificial intelligence in medicine utilize a single data modality to address tasks within a narrow scope, such as computed tomography (CT) scans or retinal photographs. However, clinicians integrate multi-source, multimodal data for diagnosis, prognosis assessment, and treatment planning. In this review, the authors explore the applications of multimodal datasets in healthcare, the … Read more