51黑料吃瓜在线观看,51黑料官网|51黑料捷克街头搭讪_51黑料入口最新视频

目的  提出一種基于灰度檢測和形態(tài)學重構(gòu)的出血點（hemorrhages , HA）自動檢測算法，以提高糖尿病視網(wǎng)膜病變(diabetic retinopathy，DR)眼底圖像的質(zhì)量和靈敏度。方法 對預處理后的圖像進行灰度閾值分割，保留并提取出HA和血管特征，再利用形態(tài)學方法去除血管并消除圖像邊緣假陽性區(qū)域，形成新算法。用新算法測試公開數(shù)據(jù)庫DIARETED1中的50幅圖像（45幅HA病變圖像，5幅正常圖像），與專家人工判斷結(jié)果進行比對驗證。結(jié)果 該算法的靈敏度（sensitivity,SE）和特異性(specificity,SP)分別為93.33%和80.00%。結(jié)論 該算法可提升眼底圖像質(zhì)量和靈敏度，在不借助醫(yī)生經(jīng)驗的條件下完成快速判定，很大程度提高了篩查的效率。

[1]陳萌夢. 糖尿病視網(wǎng)膜圖像自動篩查和分析的研究[D].重慶：重慶醫(yī)科大學, 2014.

Chen MM. Automatic screening and analysis study on diabetic retinopathyimages[D].Chongqing：Chongqing Medical University, 2014.

[2]Soares JVB, Leandro JJG, Cesar JrRM, et al. Retinal vessel segmentation using the2-DGabor wavelet and supervised classification[J]. IEEE Transactions on Medical?? Imaging, 2006,25(9): 1214-1222.

[3]Fleming AD, Goatman KA,Philip S, et al. Automaticdetection of retinalanatomytoassist diabetic retinopathy screening [J]. Physics in Medicine &Biology. 2007, 52(2):331-345.

[4]DevarajD, Nagaveena. Detection of red lesion in diabetic retinopathy using adaptivethresholding method [J]. International Journal of Engineering Research & Technology, 2013,2(4):1889-1892．

[5]Bharali P, Medhi JP, Nirmala SR. Detection of hemorrhages in diabetic retinopathy??????? analysisusing color fundus images[C]. IEEE International Conference on Recent Trends in Information Systems. India：IEEE，2015: 237-242.

[6]Gardner GG, Keating D, Williamson T H, et al. Automatic detection of diabetic retinopathy using an artificial neural network: A screening tool[J]. British Journal of Ophthalmology, 1996, 80(11): 940-944.

[7]Karkuzhali S, Manimegalai D. Retinal hemorrhages segmentation using improvedtoboggan segmentation algorithm in diabetic retinopathy images[J]. Biomedical Research, 2018, (1): 1.

[8]Sreng S, Maneerat N, Isarakorn D, et al. Automatic hemorrhages detectionbased on fundus?????? images[C].InternationalConferenceon InformationTechnology and Electrical Engineering,Thailand: IEEE, 2015:253-257.

[9]Nutnaree K, Smith G, Bunyarit U. Automated retinal hemorrhage detection usingmorphological top hat and rule-based classification [C]. 3rd International Conference onIntelligent Computational Systems. Singapore: IEEE, 2013: 39-43

[10]Adarsh P, Jeyakumari D. Multiclass SVM-Based Automated DiagnosisofDiabeticRetinopathy[C].International Conference on Communications & Signal Processing.India: IEEE , 2013:206-210.

[11]盧旭.視網(wǎng)膜眼底圖像中出血和血管檢測算法研究[D].上海：上海交通大學, 2019.

Lu X.Research on hemorrhage and blood vessel detection in fundus images[D]. Shanghai：ShanghaiJiao Tong University, 2019

[12] Gulshan V, Peng L, Coram M, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs[J]. The Journal of the American Medical Association, 2016, 316(22):2402-2410.

[13] Van Grinsven M, Van Ginneken B, Hoyng C, et al. Fast convolutional neural network training???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? using selective data sampling: Application to hemorrhage detection in color fundus images[J]. IEEE Transactions on Medical Imaging, 2016, 35(5): 1273-1284.

[14]肖志濤，趙北方，張芳，等．基于k均值聚類和自適應模板匹配的眼底出血點檢測方法[J]．中國生物醫(yī)學工程學報，2015，34( 3) : 264-271．

Xiao ZT, Zhao BF, Zhang F, et al． Hemorrhages detection in fundus image based on k-means clustering and adaptive template matching[J]. Chinese Journal of Biomedical Engineering, 2015,34( 3) : 264-271．

[15] Zhou L, Li P, Yu Q，et al. Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches[C]. InternationalConference on Image Processing. USA: IEEE, 2016.

[16] Sathananthavathi V，Indumathi G，Rajalakshmi R.Abnormalities detection inretinal fundus images[C]. International Conference on Inventive Communication &Computational Technologies. India:IEEE, 2017.

[17]Kauppi T, Kalesnykiene V, Kamarainen JK, et al. DIARETDB1 diabetic retinopathy database and evaluation protocol[J]. Medical Image Understanding and Analysis, 2007, 61: 1-10.

[18] Javitt JC, Canner JK, Frank RG, et al. Detecting and treating retinopathy in patients with? TypeⅠdiabetes mellitus: A healthy policy model[J]. Ophthalmology，1990, 97(4): 483-495.

?