文件名称:eyes
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [PDF]
- 上传时间：
- 2012-11-26
- 文件大小：
- 48.07mb
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- 0次
- 提 供 者：
- choi****
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- 无
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图像处理在眼科方面的应用与研究，眼底毛细血管的特征提取等知识-Image processing applications in ocular research, eyes and other knowledge extraction capillary
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下载文件列表
图像处理在眼科方面的应用\A coarse-to-fine strategy for automatically detecting exudates in color eye.pdf
........................\A hybrid pixel-based classification method for blood vessel.pdf
........................\A New Supervised Method for Blood Vessel.pdf
........................\A novel method for blood vessel detection from retinal images.pdf
........................\A novel retinal identification system.pdf
........................\A Sorting System for Hierarchical Grading.pdf
........................\A Successive Clutter-Rejection based Approach for.pdf
........................\Acomparison between two robust techniques for segmentation.pdf
........................\Algorithms for digital image processing in diabetic retinopathy.pdf
........................\An automatic hybrid method for retinal blood vessel extraction.pdf
........................\An Enhanced Counter Propagation Neural Network for Abnormal Retinal Image.pdf
........................\An improved matched filter for blood vessel detection of digital retinal images.pdf
........................\An Integrated Index for the Identification of Diabetic.pdf
........................\AN OVERVIEW OF COMPUTATIONAL INTELLIGENCE.pdf
........................\Automated retinal image analysis over the internet.pdf
........................\Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy.pdf
........................\AUTOMATIC BLOOD VESSEL SEGMENTATION.pdf
........................\Automatic Detection of Hard and Soft Exudates in Fundus.pdf
........................\Automatic optic disc detection from retinal images by a line operator.pdf
........................\Case for Automated Detection of Diabetic Retinopathy.pdf
........................\Detection of Blood Vessels in Fundus Images of the.pdf
........................\Detection of blood vessels in ophthalmoscope images using MFant matched filter ant colony algorithm.pdf
........................\Detection of Exudates in Retinal Images Using a Pure Splitting.pdf
........................\Detection of retinal blood vessels based on nonlinear projections.pdf
........................\Detection of the optic nerve head in fundus images of the retina using the hough transform for circles.pdf
........................\Diabetic Retinopathy-Early Detection Using Image.pdf
........................\Enhancement of blood vessels in digital fundus.pdf
........................\General retinal vessel segmentation using regularization-based multiconcavity modeling.pdf
........................\Glaucoma risk index.pdf
........................\Image registration and subtraction for the visualization of change in.pdf
........................\Information fusion for diabetic retinopathy CAD in digital color fundus photographs.pdf
........................\Integrated analysis of vascular and nonvascular changes from color retinal fundus image sequences.pdf
........................\Machine learning approach to automatic exudate detection in retinal images.pdf
........................\Neural network based detection of hard exudates in.pdf
........................\Parallel multiscale feature extraction and region growing Application in retinal blood vessel detection.pdf
........................\Quantitative analysis of multi-spectral fundus images.pdf
........................\Retinal blood vessel segmentation using line operators and support vector classification.pdf
........................\Retinal Blood Vessel Segmentation Using Line.pdf
........................\Retinal vessel extraction by matched filter with first-order derivative of Gaussian.pdf
........................\Retinal vessel image segmentation and three-dimensional reconstruction of retinal vessel.pdf
........................\Retinal vesselextractionbymatchedfilterwithfirst-order.pdf
........................\Robust rigid registration of retinal angiograms through optimization.pdf
........................\Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction.pdf
......
........................\A hybrid pixel-based classification method for blood vessel.pdf
........................\A New Supervised Method for Blood Vessel.pdf
........................\A novel method for blood vessel detection from retinal images.pdf
........................\A novel retinal identification system.pdf
........................\A Sorting System for Hierarchical Grading.pdf
........................\A Successive Clutter-Rejection based Approach for.pdf
........................\Acomparison between two robust techniques for segmentation.pdf
........................\Algorithms for digital image processing in diabetic retinopathy.pdf
........................\An automatic hybrid method for retinal blood vessel extraction.pdf
........................\An Enhanced Counter Propagation Neural Network for Abnormal Retinal Image.pdf
........................\An improved matched filter for blood vessel detection of digital retinal images.pdf
........................\An Integrated Index for the Identification of Diabetic.pdf
........................\AN OVERVIEW OF COMPUTATIONAL INTELLIGENCE.pdf
........................\Automated retinal image analysis over the internet.pdf
........................\Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy.pdf
........................\AUTOMATIC BLOOD VESSEL SEGMENTATION.pdf
........................\Automatic Detection of Hard and Soft Exudates in Fundus.pdf
........................\Automatic optic disc detection from retinal images by a line operator.pdf
........................\Case for Automated Detection of Diabetic Retinopathy.pdf
........................\Detection of Blood Vessels in Fundus Images of the.pdf
........................\Detection of blood vessels in ophthalmoscope images using MFant matched filter ant colony algorithm.pdf
........................\Detection of Exudates in Retinal Images Using a Pure Splitting.pdf
........................\Detection of retinal blood vessels based on nonlinear projections.pdf
........................\Detection of the optic nerve head in fundus images of the retina using the hough transform for circles.pdf
........................\Diabetic Retinopathy-Early Detection Using Image.pdf
........................\Enhancement of blood vessels in digital fundus.pdf
........................\General retinal vessel segmentation using regularization-based multiconcavity modeling.pdf
........................\Glaucoma risk index.pdf
........................\Image registration and subtraction for the visualization of change in.pdf
........................\Information fusion for diabetic retinopathy CAD in digital color fundus photographs.pdf
........................\Integrated analysis of vascular and nonvascular changes from color retinal fundus image sequences.pdf
........................\Machine learning approach to automatic exudate detection in retinal images.pdf
........................\Neural network based detection of hard exudates in.pdf
........................\Parallel multiscale feature extraction and region growing Application in retinal blood vessel detection.pdf
........................\Quantitative analysis of multi-spectral fundus images.pdf
........................\Retinal blood vessel segmentation using line operators and support vector classification.pdf
........................\Retinal Blood Vessel Segmentation Using Line.pdf
........................\Retinal vessel extraction by matched filter with first-order derivative of Gaussian.pdf
........................\Retinal vessel image segmentation and three-dimensional reconstruction of retinal vessel.pdf
........................\Retinal vesselextractionbymatchedfilterwithfirst-order.pdf
........................\Robust rigid registration of retinal angiograms through optimization.pdf
........................\Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction.pdf
......