S, Visalaxi

The code for implementing the Segmentation of Endometriosisi using Transfer Learning Architecture. Image Augmentation Code Creating model using CNN snippet Implementation of U-Net architecture snippet

The GLENDA v1.5 dataset was used for execution and it contain laparoscopic images of both pathological and Non pathological endometriosis affected at multiple regions.

Contain Mean and Standard devation calculation for Uterus, Ovary, Peritoneum and Deep infiltrating endometriosis.Dataset Description of Endometriosis

Machine learning is a cutting-edge technology used for predicting and diagnosing various diseases. Various machine learning algorithm facilitates the prediction. The decision tree belongs to learning algorithm that performs both classificat…