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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | CERVICAL CANCER SEGMENTATION AND CLASSIFICATION USING MACHINE LEARNING |
| Authors Name: | Tejaswini MangalaMadaka , Navya Sivani Attaluri , Mr. A Arul prakash |
| Unique Id: | IJSDR2304204 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | A large group of women population, in the world is affected by the cervical cancer in their different age groups. Hence, most of the researchers, pathologists and also more number of collegiate have provided more number of solutions, to identify this cancer from the test images of pap smear screening test. But their results represent, only to an extent, whether the patient is affected by cancer or not, and do not specially identify the exact nature and severity of the cancer. In this project, it is proposed, to identify the cancer and classify the stage of the cancer from the pap smear test images with high accuracy. The proposed work is based on segmentation, enhancement, and feature extraction and classification process. Test results show the mean and area value-based classification of the normal and abnormal cell and also to identify the stage of the cervical cancer. Hence the results would be more useful for the pathologists to reduce their work load and minimize the human error while improving the accuracy of diagnosis. |
| Keywords: | Machine Learning, Support Vector Machine, Convolution Neural Network |
| Cite Article: | "CERVICAL CANCER SEGMENTATION AND CLASSIFICATION USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1261 - 1264, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304204.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR2304204 Registration ID:205398 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1261 - 1264 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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