Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method
Automatic skin lesion segmentation on skin images is an essential component in diagnosing skin cancer. Image de-noising in skin cancer lesion is a description of processing image which refers to image restoration techniques to develop an image in predefined touch. Then de-noising is the crucial step...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2019-11-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_169061_f34b2bd0f33dfa0064d0d6d0417f5cfe.pdf |
| _version_ | 1797326039654858752 |
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| author | Hadeel Abdullah Hala Abduljaleel |
| author_facet | Hadeel Abdullah Hala Abduljaleel |
| author_sort | Hadeel Abdullah |
| collection | DOAJ |
| description | Automatic skin lesion segmentation on skin images is an essential component in diagnosing skin cancer. Image de-noising in skin cancer lesion is a description of processing image which refers to image restoration techniques to develop an image in predefined touch. Then de-noising is the crucial step of image processing to restore the right quality image after that which can use in many processes like segmentation, detection. This work proposes a new technique for skin lesion tumor denoising and segmentation. Initially, using Deep Convolution Neural Network (CNN) to eliminate noise and undesired structures for the images. Then, a new mechanism is proposed to segment the skin lesion into skin images based on active_contour straight with morphological processes. Different noise removal and segmentation techniques on skin lesion images are applying and comparing. The proposed algorithm shows improvement in the results of both noise reduction and segmentation |
| first_indexed | 2024-03-08T06:17:52Z |
| format | Article |
| id | doaj.art-cd3f7698558d4d138bdb8c2544d7c6f6 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:17:52Z |
| publishDate | 2019-11-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-cd3f7698558d4d138bdb8c2544d7c6f62024-02-04T17:13:00ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582019-11-013711A46446910.30684/etj.37.11A.3169061Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour MethodHadeel Abdullah0Hala Abduljaleel1Electrical Engineering Department, University of Technology - IraqElectrical Engineering Department, University of Technology - IraqAutomatic skin lesion segmentation on skin images is an essential component in diagnosing skin cancer. Image de-noising in skin cancer lesion is a description of processing image which refers to image restoration techniques to develop an image in predefined touch. Then de-noising is the crucial step of image processing to restore the right quality image after that which can use in many processes like segmentation, detection. This work proposes a new technique for skin lesion tumor denoising and segmentation. Initially, using Deep Convolution Neural Network (CNN) to eliminate noise and undesired structures for the images. Then, a new mechanism is proposed to segment the skin lesion into skin images based on active_contour straight with morphological processes. Different noise removal and segmentation techniques on skin lesion images are applying and comparing. The proposed algorithm shows improvement in the results of both noise reduction and segmentationhttps://etj.uotechnology.edu.iq/article_169061_f34b2bd0f33dfa0064d0d6d0417f5cfe.pdfconvolutional neural networksskin cancerdenoisingsegmentation |
| spellingShingle | Hadeel Abdullah Hala Abduljaleel Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method Engineering and Technology Journal convolutional neural networks skin cancer denoising segmentation |
| title | Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method |
| title_full | Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method |
| title_fullStr | Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method |
| title_full_unstemmed | Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method |
| title_short | Deep CNN Based Skin Lesion Image Denoising and Segmentation using Active Contour Method |
| title_sort | deep cnn based skin lesion image denoising and segmentation using active contour method |
| topic | convolutional neural networks skin cancer denoising segmentation |
| url | https://etj.uotechnology.edu.iq/article_169061_f34b2bd0f33dfa0064d0d6d0417f5cfe.pdf |
| work_keys_str_mv | AT hadeelabdullah deepcnnbasedskinlesionimagedenoisingandsegmentationusingactivecontourmethod AT halaabduljaleel deepcnnbasedskinlesionimagedenoisingandsegmentationusingactivecontourmethod |