INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"Application of Pattern Recognition Based Neural Network Algorithms for Ovarian Cancer Detection and Classification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 3, page no.652-657, March-2022, Available :http://www.ijnrd.org/papers/IJNRD2203080.pdf
Downloads:
000118756
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn