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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
EARLY DIAGNOSIS OF CERVICAL CANCER USING COLPOSCOPIC IMAGES
Authors
DR. DINESHA L, SINCHANA SHETTY, SWATI METRI, ADARSH J, KAVYANJALI K
Keywords
Cervical Cancer, Deep Learning, CNN, Transfer Learning, ResNet50, MobileNet, DenseNet
Abstract
Cervical cancer is the fourth leading cause of cancer in women worldwide. Early detection of cervical intraepithelial neoplasia (CIN) can improve patient survival .This paper proposes a deep learning-based technique for determining whether a cervical cancer diagnosis is good or bad. By harnessing the power of transfer learning, the framework combines the benefits of pre-trained models like ResNet50, MobileNet, and DenseNet with the capabilities of CNNs. Our architecture is trained on a comprehensive database of cervical cancer images, comprising both online sources and magnification data-generated images. Using this model, our body can identify cervical cancer as positive or negative, which shows the effectiveness of CNNs and changes the study by checking medical images.
IJCRT's Publication Details
Unique Identification Number - IJCRT2412007
Paper ID - 273293
Page Number(s) - a44-a48
Pubished in - Volume 12 | Issue 12 | December 2024
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
DR. DINESHA L, SINCHANA SHETTY, SWATI METRI, ADARSH J, KAVYANJALI K, "EARLY DIAGNOSIS OF CERVICAL CANCER USING COLPOSCOPIC IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.a44-a48, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412007.pdf
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Volume 14 | Issue 3
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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