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An Improved Iterative Segmentation Algorithm using Canny Edge Detector with Iterative Median Filter for Skin Lesion Border Detection

机译：改进的迭代分割算法，使用Canny边缘检测器和迭代中值滤波器进行皮肤病变边界检测

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J. H. Jaseema Yasmin; M. Mohamed Sadiq;
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1. An Improved Iterative Segmentation Algorithm using Canny Edge Detector for Skin Lesion Border Detection [J] . Yasmin Jaseema, Sathik Mohamed The international arab journal of information technology . 2015,第4期

机译：改进的迭代分割算法，使用Canny Edge检测器进行皮肤病变边界检测
2. SEGMENTATION OF CT SCAN LUMBAR SPINE IMAGE USING MEDIAN FILTER AND CANNY EDGE DETECTION ALGORITHM [J] . E.Punarselvam, Dr.P.Suresh, R.Parthasarathy International Journal on Computer Science and Engineering . 2013,第9期

机译：基于中值滤波和边缘检测算法的CT扫描腰椎脊柱图像分割
3. Model-Based Iterative Reconstruction Versus Adaptive Statistical Iterative Reconstruction and Filtered Back Projection in Liver 64-MDCT: Focal Lesion Detection, Lesion Conspicuity, and Image Noise [J] . William P. Shuman, Doug E. Green, Janet M. Busey, AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences . 2013,第5期

机译：肝64-MDCT中基于模型的迭代重建与自适应统计迭代重建和滤波反投影：焦点病变检测，病变显眼性和图像噪声
4. Robust segmentation algorithm using LOG edge detector for effective border detection of noisy skin lesions [C] . Jaseema Yasmin J.H., Mohamed Sathik M., Zulaikha Beevi S. 2011 International Conference on Computer, Communication and Electrical Technology . 2011

机译：使用LOG边缘检测器的鲁棒分割算法可有效检测噪声性皮肤病变的边界
5. An iterated tabu search algorithm for the design of FIR filters . [D] . Moazzami, Katayoon. 2012

机译：FIR滤波器设计的迭代禁忌搜索算法。
6. Model-Based Iterative Reconstruction Versus Adaptive Statistical Iterative Reconstruction and Filtered Back Projection in Liver 64-MDCT: Focal Lesion Detection Lesion Conspicuity and Image Noise [O] . William P. Shuman, Doug E. Green, Janet M. Busey, -1

机译：肝64-MDCT中基于模型的迭代重建与自适应统计迭代重建和滤波反投影：局灶病变检测病变显眼性和图像噪声
7. Figure 3: Proposed approach: (A) The skin lesion image is firstly converted to grayscale, after which the skin lesion is segmented and smoothed, lesion border (edge) detected, and the lesion irregularity measure derived. (B) A CNN is trained on the smoothed segmented image, skin lesion border, and the skin lesion irregularity measure. (C) A Gaussian naive Bayes is trained on the irregularity measure. (D) The generated models are used to predict class probabilities, and a threshold is eventually used to determine the final decision (regular or irregular skin lesion border). [O] . -1

机译：图3：所提出的方法：（a）将皮肤病变图像首先转化为灰度，之后将皮肤病变分段和平滑，检测到病变边界（边缘），并且衍生病变不规则性测量。（b）CNN在平滑的分段图像，皮肤病变边界和皮肤病原不规则测量上培训。（c）高斯天真贝叶斯在不规则措施上培训。（d）所生成的模型用于预测类概率，最终最终用于确定最终决定（常规或不规则的皮肤病变边界）。
8. An Iterative Gradient Edge Detection Algorithm. [R] . Eberlein, R. B. 1975

机译：一种迭代梯度边缘检测算法。

An Improved Iterative Segmentation Algorithm using Canny Edge Detector with Iterative Median Filter for Skin Lesion Border Detection

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