Description: 在医学图象处理中，用于对于癌细胞进行检测，效果很好-In medical image processing for the detection of cancer cells, the effect of good Platform: |
Size: 101376 |
Author:lilei |
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Description: 边缘提取算法提取细胞轮廓 适用于前景背景反差巨大-An object can be easily detected in an image if the object has sufficient
contrast from the background. We use edge detection and basic morphology
tools to detect a prostate cancer cell. Platform: |
Size: 2048 |
Author:cicy |
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Description: 对细胞图像进行边缘的检测，通过实验的结果可以得到有效的细胞边缘。推荐下载。-Cell image edge detection, the results of the experiments can be an effective cell edge. Recommend to download. Platform: |
Size: 1024 |
Author:geji |
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Description: Loggabor Lung cancer detection
Steps
1. First enter the patient ID
2. Enter patients mail ID
3. Select Input image cross sectional view of lungs
• After selection the image histogram equalized,
• Gabor filterd enhance the image
• Dilated gradient mask
• Cleared border image
• Calculate area
• Possible location of cancer is traced by green boundary
4. Result
Platform: |
Size: 211968 |
Author:Lee Kurian |
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Description: This function extract a binary image gray scale image
using auto-tuned threshold value obtained the correlation
of Image euler numbers. This work had been published in
L.P Wong, H.T Ewe.
A Study of Lung Cancer Detection using Chest X-ray Images.
3rd APT Telemedicine Workshop 2005, 27-28th January 2005, Kuala Lumpur,
Malaysia. Pages 210-214.- This function extract a binary image gray scale image
using auto-tuned threshold value obtained the correlation
of Image euler numbers. This work had been published in
L.P Wong, H.T Ewe.
A Study of Lung Cancer Detection using Chest X-ray Images.
3rd APT Telemedicine Workshop 2005, 27-28th January 2005, Kuala Lumpur,
Malaysia. Pages 210-214. Platform: |
Size: 7168 |
Author:Bariz |
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Description: Skin cancer melanoma segmentation- image processing. efficient detection of diameter and roundness in segmented part Platform: |
Size: 101376 |
Author:Perfect |
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Description: 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. Due to cost of
dermatologist to screen every patient, an automated system is
needed for melanoma detection so that death rates can be
minimized if detected early. It can be done using various image
processing techniques. An important step in the automated
system of melanoma detection is the segmentation process which
locates the border of skin lesion in order to separate the lesion
part from background skin for further feature extraction. Platform: |
Size: 2911232 |
Author:Deep123
|
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Search - cancer detection image