CARSINOS DETECTION USING DEEP LEARNING IN FEMININE GONADS
International Research Journal of Modernization in Engineering Technology and Science · 2023
A women's reproductive system would not be complete without her ovaries.These tiny glands, essential for reproduction, produce female intercourse hormones in addition to female gametes.They are almond-shaped organs outside ducts situated on either side of the womb.There are different aspects that can lead to ovarian malignancy, which is discovered by a distinct method.Consequently, we have convolutional neural networks.This is one of the most universal ways in which ovarian cancer is identified.In this project, convolutional neural networks will be used to classify ovarian malignancy tumors.Furthermore, we intend to equate the submitted approach with the two machine learning algorithms.