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find Keyword "眼底" 121 results
  • Clinical observation of multifocal choroiditis

    Objective To investigate the clinical features of multifocal choroiditis (MC) and guide the diagnosis and treatment. Methods Retrospective analysis of clinical data of 18 MC cases (28 eyes) who were diagnosed through fluorescein angiography (FFA) or indocyanine green angiography (ICGA) and fundus characteristics. Results Multiple round to oval lesions scattered throughout the posterior pole and peripheral areas of ocular fundi of all of the 28 eyes(binocular in 10 and monocular in 8) were found. Active focal lesions of ocular fundi were seen in 8 patients and inactive lesions in 10 patients. active and 10 cases were inactive. Choroidal neovascularization(CNV) in macular area was found in 7 patients. The images of FFA of the legions showed hypofluorescence in the early phase, with late leakage and gradual staining or window is defect in the late phase. Conclusions MC is a rare disease and often misdiagnosed to other disease and FFA helpful in diagnosis. (Chin J Ocul Fundus Dis, 2005, 21: 367-370)

    Release date:2016-09-02 05:52 Export PDF Favorites Scan
  • 《中华眼底病杂志》1996~2000年所载文献的计量分析

    Release date:2016-09-02 05:58 Export PDF Favorites Scan
  • 妊娠高血压综合征眼底改变临床分析

    Release date:2016-09-02 06:01 Export PDF Favorites Scan
  • Detection of microaneurysms in fundus images based on improved YOLOv4 with SENet embedded

    Microaneurysm is the initial symptom of diabetic retinopathy. Eliminating this lesion can effectively prevent diabetic retinopathy in the early stage. However, due to the complex retinal structure and the different brightness and contrast of fundus image because of different factors such as patients, environment and acquisition equipment, the existing detection algorithms are difficult to achieve the accurate detection and location of the lesion. Therefore, an improved detection algorithm of you only look once (YOLO) v4 with Squeeze-and-Excitation networks (SENet) embedded was proposed. Firstly, an improved and fast fuzzy c-means clustering algorithm was used to optimize the anchor parameters of the target samples to improve the matching degree between the anchors and the feature graphs; Then, the SENet attention module was embedded in the backbone network to enhance the key information of the image and suppress the background information of the image, so as to improve the confidence of microaneurysms; In addition, an spatial pyramid pooling was added to the network neck to enhance the acceptance domain of the output characteristics of the backbone network, so as to help separate important context information; Finally, the model was verified on the Kaggle diabetic retinopathy dataset and compared with other methods. The experimental results showed that compared with other YOLOv4 network models with various structures, the improved YOLOv4 network model could significantly improve the automatic detection results such as F-score which increased by 12.68%; Compared with other network models and methods, the automatic detection accuracy of the improved YOLOv4 network model with SENet embedded was obviously better, and accurate positioning could be realized. Therefore, the proposed YOLOv4 algorithm with SENet embedded has better performance, and can accurately and effectively detect and locate microaneurysms in fundus images.

    Release date:2022-10-25 01:09 Export PDF Favorites Scan
  • 糖尿病视网膜病变眼底彩色照片的读片可信度分析

    Release date:2016-09-02 05:51 Export PDF Favorites Scan
  • 环形视网膜色素变性

    报告1例环形视网膜色素变性病人,其临床特征为双眼环绕黄斑的带状色素变性区.视力正常,无夜盲症状,眼底荧光血管造影显示病变区有视网膜色素上皮和脉络膜毛细血管萎缩.结合文献对本病的临床特点、眼底荧光血管造影及鉴别诊断进行简要讨论。 (中华眼底病杂志,1993,9:109-109)

    Release date:2016-09-02 06:35 Export PDF Favorites Scan
  • Coats病17例报告

    李龙标;潘承恩;沈伟 报告1500例眼底荧光血管造影中发现Coats病17例20眼.其中男性13例(76.47%),单眼14例(82.35%),Ⅱ型15例(88.24%),合并黄斑损害13眼(65%),视力 le;0.1者13眼(65%),年龄le;19岁者11例(64.76%).本组多为男性青少年,单眼发病,视网膜血管异常多表现为Ⅱ型,1/4病例视网膜脱离. (中华眼底病杂志,1993,9:166-167)

    Release date:2016-09-02 06:35 Export PDF Favorites Scan
  • 基因芯片技术在眼底病研究中的应用

    将大量基因片段或寡核苷酸有序、高密度排列在玻璃、硅等载体上,称之为基因芯片。基因芯片技术以其检测快速、高效、高通量、高度并行性、微型化和自动化等特点,成为了研究生命本质及疾病发生发展规律的重要手段。现对其基本概念、特点、基本原理及其在眼底病研究中的应用前景作一综述。 (中华眼底病杂志,2004,20:265-266)

    Release date:2016-09-02 05:58 Export PDF Favorites Scan
  • 175例儿童眼底病眼底荧光血管造影分析

    Release date:2016-09-02 06:12 Export PDF Favorites Scan
  • 广角数码视网膜成像系统与间接检眼镜在早产儿眼底病变筛查中的应用比较

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