T. Sudalaimuthu

Endometriosis is a disease affecting the women's reproductive system. The lesion-like structure that exists in the women's reproductive organ creates an impact on their fertility. The diagnostic approach of endometriosis was performed by a …

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

Background: This paper focuses on segmenting the exact location of endometriosis using the state-of-art technique known as U-Net. Endometriosis is a progressive disorder that has a significant impact on women. The lesion-like appearance th…

Background: This paper focuses on segmenting the exact location of endometriosis using the state-of-art technique known as U-Net. Endometriosis is a progressive disorder that has a significant impact on women. The lesion-like appearance th…

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

Principle component analysis is a “state-of-art” technique for handling medical-based image data. The Laparoscopic images of Endometriosis are in raw format and large volumes and hence the images cannot be used directly for further processi…

The endometriosis was a malignancy reproductive problem. The tissue like structure look at the exterior side of the uterus. The endometriosis was found among 10% of global women population. Endometriosis affect other region includes pelvis,…