S Visalaxi

No ORCID on file · 14 papers in corpus · active 2021-2023

Study types

  • article 10
  • dataset 2
  • preprint 2

Condition tags

  • endometriosis 14
  • die_deep_infiltrating 3
  • dysmenorrhea 1
article 2023
·doi:10.17654/0973514323009
article 2023
·doi:10.1109/c2i659362.2023.10431344

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 …

article 2022
·doi:10.5281/zenodo.6324521

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

preprint 2022
·doi:10.12688/f1000research.110283.2

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…

preprint 2022
·doi:10.12688/f1000research.110283.1

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…

dataset 2022
·doi:10.6084/m9.figshare.19130054

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.

dataset 2022
·doi:10.6084/m9.figshare.19330682

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

article 2022
·doi:10.11591/ijeecs.v29.i3.pp1700-1707

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…

article 2021
·doi:10.1109/icicv50876.2021.9388403

Endometriosis is a gynecological disorder which occurs in the age group of 15-45 years. In normal cases endometrial tissue is found inside the lining of uterus but in case f endometrium, tissue is found outside the uterus. In advanced cases…

article 2021
·doi:10.22075/ijnaa.2021.5383

Endometriosis is the anomalous progress of cells at the outer part of the uterus. Generally, this endometrial tissue stripes the uterine cavity. The existence of endometriosis is identified through procedures known as Transvaginal Ultra Sou…

article 2021
·doi:10.1109/icaeca52838.2021.9675620

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…

article 2021
·doi:10.1109/spin52536.2021.9566041

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,…

article 2021
·doi:10.1109/icais50930.2021.9395822

The Endometriosis is caused by the endometriotic tissue that streaks the uterus from outside. A total of 6% of women under child bearing age is affected by the endometriosis disorder. The presence of the tissue can be identified though MRI,…

article 2021
·doi:10.11591/eei.v10i6.3254

Endometriosis a painful disorder that stripes the uterus both inside and outside. Endometriosis can be diagnosed by the medical practitioners with the help of traditional scanning procedures. Laparoscopic surgery is the authentic method for…