Description: p
rimary lung cancer remains the leading cause of cancer-related death in the Western world, and the lung is a common site for recurrence of extrathoracic malignancies. Ssmall-animal (rodent) models of cancer can have a very valuable role in the development of improved therapeutic strategies. However, detection of mouse pulmonary tumors and their subsequent response to therapy
in situ is challenging. We have recently described MRrI as a reliable, reproducible and nondestructive modality for the detection and serial monitoring of pulmonary tumors. Platform: |
Size: 1307648 |
Author:Divya Hiremath |
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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: lung cancer automatic detection based on genetic algorithm and support vector machine classifier Platform: |
Size: 148480 |
Author:javad |
Hits:
Search - lung cancer detection