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publications
- Automatic Classification of Skin Lesion Images
1
- 分类决策树辅助 CT 诊断孤立性肺结节的 方法学研究 应用分类与回归决策树( CART) 算法构建 CT 显像鉴别良恶性孤立性肺结节 ( SPN) 预测模型,探讨数据挖掘技术在 SPN 影像诊断中的应用价值。-Coin lesion, pulmonary Diagnosis, computer-assisted Regression analysis
brain_tumor_fcm
- In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation al
level-set
- 应用水平集来提取病变区域的轮廓的有效算法-Level set to an effective algorithm to extract the contour of the lesion region
Lung_cancer_B_splines
- Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Computed tomography (CT) shows promise in detecting lung cancers at earlier, more operable stages, when survival is better. CT scans genera
extractNodule
- 用于提取癌症CT图像中的病变细胞特征，进行分割图像的程序。-CT image for extracting a lesion in cancer cell characteristics for image segmentation procedures.
otsu
- 以去除复杂背景的病害叶片的病斑图像分割，经典的otsu法。-To remove complex background disease leaf lesion segmentation, classic otsu France.
bingban
- 用图像分割的方法提取树叶病斑坏死区域并显示-Necrotic lesion leaves the region extraction method, and displays the image segmentation
bingbanfenge
- 可以用于对有病斑的图像进行病斑提取,可以自行切换需要前景还是后景-Can be used to have a lesion lesion image extraction can switch needs its own background or foreground
Segmentation
- In this project ,segmentation method that uses the k means technique to track tumor objects in magnetic resonance (MR) brain images. The method can segment MR brain images to help radiologists distinguish exactly lesion
leaf-diseases-identification
- 为了根据作物不同病害程度等级采取不同防治方法，实现作物高产和减少环境污染，提出了一种复杂背景 下的作物叶片病害等级分类算法。首先，利用阈值分割法对黄瓜病害叶片图像进行病斑分割 其次，计算病斑区域中 像素个数与病叶区域中像素个数的比值 最后用作物病害等级分级标准进行比较来确定病害等级类别。利用该方法 在2 种作物5 种常见病害叶片图像数据库上进行了病害等级分类试验，识别精度高达92． 7 。结果表明，该方法对 作物病害叶片
Brainlesion
- Brain lesion extraction
Cscore
- skin lesion color histogram
fcmthresh
- Skin lesion segmentation
ins_seg
- Segmentation skin lesion
Breneman_Malignant_Melanoma_Detection
- Skin lesion classification
final_code_25_05_2017
- Melanoma is one of the deadly diseases among skin cancer. Melanoma detection can be done by dermatological screening and biopsy tests which are time consuming and expensive that requires experts from medical field. Du
Matlabcode-ESWA-vol56pp300-309Sept2016
- Lesion segmentation by Flores, E. S.; Scharcanski, J.
maxslice
- 在分割好的病灶区内生成可以生长变化的球体，以包围三维病灶。(A sphere with variable growth can be generated in the segmented lesion area to surround the three-dimensional lesion.)
Liver-Tumors-master
- 首先，本代码针对肝脏CT图像序列的特点，提出了一个肝癌图像分割算法，对医学图像的分割、辅助医生进行肝脏切割手术、为医生进行诊断和治疗、肝脏的三维重建、确定病变区域的大小及程度等也有着重要意义。(Firstly, according to the characteristics of liver CT image sequence, this code proposes a liver cancer image segmentation