Home/Image Processing Projects - Classification of malignant melanoma and benign skin lesion by using back propagation neural network
Image Processing Projects - Classification of malignant melanoma and benign skin lesion by using back propagation neural network
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![](https://www.facebook.com/dialog/feed?app_id=1767574003460647&link=https://pantechelearning.myinstamojo.com/product/image-processing-projects-classification-of-&picture=https://storeassets.im-cdn.com/temp/cuploads/ap-south-1%3Afe8af277-4cd5-47f4-b708-2cf09cc993b0/pantechelearning/products/1615981033584PAN-IPM-017--5-.PNG&name=Image Processing Projects - Classification of malignant melanoma and benign skin lesion by using back propagation neural network&caption=undefined&description=<p class="ql-align-justify"><span style="color: rgb(51, 51, 51);">Classification of skin lesions plays a crucial role in diagnosing various, local and gene related, medical conditions in the field of dermoscopy. Estimation of these biomarkers are used to provide some insight, while detecting cancerous cells and classifying the lesion as either benign or malignant. This paper presents groundwork for detection of skin lesions with cancerous inclination by segmentation and subsequent application of Neural Network on dermoscopy images, Images with skin lesions were segmented based on individual channel intensity Thresholding. The resultant images were fed into NN for feature extraction. The extracted features were then used for classification by an NN classifier. Previously, several approaches have been used for subject diagnostic with varying degree of success. However, room is still available for exploring other techniques for improving proportion of successfully detected malignant lesions.</span></p>&redirect_uri=http://www.facebook.com)
Image Processing Projects - Classification of malignant melanoma and benign skin lesion by using back propagation neural network
₹
5,200
₹
6,000
13% off
Exclusive of taxes
Share this
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Classification of skin lesions plays a crucial role in diagnosing various, local and gene related, medical conditions in the field of dermoscopy. Estimation of these biomarkers are used to provide some insight, while detecting cancero
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