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Search results for: T. Danti Dey
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Danti Dey"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: T. Danti Dey</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Computer Countenanced Diagnosis of Skin Nodule Detection and Histogram Augmentation: Extracting System for Skin Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=S.%20Zith%20Dey%20Babu">S. Zith Dey Babu</a>, <a href="https://publications.waset.org/search?q=S.%20Kour"> S. Kour</a>, <a href="https://publications.waset.org/search?q=S.%20Verma"> S. Verma</a>, <a href="https://publications.waset.org/search?q=C.%20Verma"> C. Verma</a>, <a href="https://publications.waset.org/search?q=V.%20Pathania"> V. Pathania</a>, <a href="https://publications.waset.org/search?q=A.%20Agrawal"> A. Agrawal</a>, <a href="https://publications.waset.org/search?q=V.%20Chaudhary"> V. Chaudhary</a>, <a href="https://publications.waset.org/search?q=A.%20Manoj%20Puthur"> A. Manoj Puthur</a>, <a href="https://publications.waset.org/search?q=R.%20Goyal"> R. Goyal</a>, <a href="https://publications.waset.org/search?q=A.%20Pal"> A. Pal</a>, <a href="https://publications.waset.org/search?q=T.%20Danti%20Dey"> T. Danti Dey</a>, <a href="https://publications.waset.org/search?q=A.%20Kumar"> A. Kumar</a>, <a href="https://publications.waset.org/search?q=K.%20Wadhwa"> K. Wadhwa</a>, <a href="https://publications.waset.org/search?q=O.%20Ved"> O. Ved</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Background: Skin cancer is now is the buzzing button in the field of medical science. The cyst's pandemic is drastically calibrating the body and well-being of the global village. Methods: The extracted image of the skin tumor cannot be used in one way for diagnosis. The stored image contains anarchies like the center. This approach will locate the forepart of an extracted appearance of skin. Partitioning image models has been presented to sort out the disturbance in the picture. Results: After completing partitioning, feature extraction has been formed by using genetic algorithm and finally, classification can be performed between the trained and test data to evaluate a large scale of an image that helps the doctors for the right prediction. To bring the improvisation of the existing system, we have set our objectives with an analysis. The efficiency of the natural selection process and the enriching histogram is essential in that respect. To reduce the false-positive rate or output, GA is performed with its accuracy. Conclusions: The objective of this task is to bring improvisation of effectiveness. GA is accomplishing its task with perfection to bring down the invalid-positive rate or outcome. The paper's mergeable portion conflicts with the composition of deep learning and medical image processing, which provides superior accuracy. Proportional types of handling create the reusability without any errors.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Computer-aided%20system" title="Computer-aided system">Computer-aided system</a>, <a href="https://publications.waset.org/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/search?q=morphology." title=" morphology."> morphology.</a> </p> <a href="https://publications.waset.org/10011806/computer-countenanced-diagnosis-of-skin-nodule-detection-and-histogram-augmentation-extracting-system-for-skin-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10011806/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10011806/bibtex" target="_blank" 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