Ovarian Cancer Diagnosis using Artificial Neural Network

Author(s)	Sukanya Pandey
Country	India
Abstract	Ovarian cancer is a quiet and dangerous enemy that affects women all over the world. It needs to early diagnosis. Radiology, cardiology, and cancer are expanding ANN research. Medical research uses ANNs. Thus, a Computer Aided Diagnosis (CAD) system using ANNs to categorize ovarian cancer based on biopsy pictures is being developed. Ovarian cancer is the fifth most common disease and the seventh major cause of death among women. Many studies categorize ovarian cancer using ANN. Classification accuracy affects physicians. Better classification helps doctors choose treatments. Early and accurate diagnosis may reduce mortality. Comparing the proposed model to the other four categorization techniques. The recommended methodology classifies ovarian cancer 98.7 percent more accurately than earlier algorithms.
Keywords	Early diagnosis, ANN
Field	Biology > Medical / Physiology
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-06-24
Cite This	Ovarian Cancer Diagnosis using Artificial Neural Network - Sukanya Pandey - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.4035
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.4035
Short DOI	https://doi.org/gsdk55

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