Application of Pattern Recognition Based Neural Network Algorithms for Ovarian Cancer Detection and Classification

Registration ID: IJNRD_180719

Published ID: IJNRD2203080

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Mrs.T.THANAVEL , Dr.K.G.PADMASINE

Ovarian cancer, computer aided diagnosis, Neural Network, Pattern recognition.

Ovarian cancer is a dangerous disease for women. In most cases the tumor after spreading within the pelvis and abdomen is detected, at this late detection ovarian cancer tumor is more complex to treat, so starting stage detection is important to ovarian cancers. To find the correct diagnostic sign in ovarian tumor images observed by the Ultrasound or other tests is a difficult task for gynecologists. There is a need to implement an effective computer-aided diagnostics (CAD) system for the classification of the ovarian tumor as benign and malignant, which is also inexpensive to patients because lack of cost-effective methods to early detection accrues high mortality in ovarian cancer patients. Here proposed a pattern recognition method for the detection and classification of ovarian cancer using various train functions of neural networks for improved accuracy and sensitivity.

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Mrs.T.THANAVEL & Dr.K.G.PADMASINE (March-2022). Application of Pattern Recognition Based Neural Network Algorithms for Ovarian Cancer Detection and Classification. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(3), 652-657. https://ijnrd.org/papers/IJNRD2203080.pdf

Volume 7 Issue 3, March-2022

Pages : 652-657

Paper Reg. ID: IJNRD_180719

Published Paper Id: IJNRD2203080

Downloads: 000121989

Research Area: Applied Instrumentation 

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2203080.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2203080

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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