Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Elena Ovreiu"'
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 49-63 (2024)
This paper presents a comparative analysis of web-based machine learning models, specifically examining Google Vertex AI, Google Teachable Machine, Azure Machine Learning and Salesforce Einstein Vision. The objective is to assess their suitability fo
Externí odkaz:
https://doaj.org/article/7c2a0a98ab0645d5bb1b88771030fff6
Publikováno v:
Applied System Innovation, Vol 7, Iss 3, p 51 (2024)
In the ever-evolving landscape of healthcare, the implementation of a robust medical information system stands as a transformative endeavor. This article serves as a comprehensive guide, delineating the intricate steps involved in deploying an effect
Externí odkaz:
https://doaj.org/article/5603721342fa4536a088af34f4804d05
Publikováno v:
Applied System Innovation, Vol 7, Iss 2, p 28 (2024)
This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesfo
Externí odkaz:
https://doaj.org/article/06443d316a2944a3951a9d8bd42a32c9
Autor:
Elena-Anca PARASCHIV, Elena OVREIU
Publikováno v:
Revista Română de Informatică și Automatică, Vol 30, Iss 2, Pp 67-80 (2020)
Breast cancer is one the most common types of cancer diagnosed in women and the second leading cause of cancer mortality after lung cancer. The diagnostic and prediction of the cancer development are realized, nowadays, using different techniques b
Externí odkaz:
https://doaj.org/article/87c80914cc574b9cbd62ec00111a4c37
Publikováno v:
2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Being one of the most serious causes of irreversible blindness, all over the world, glaucoma is the asymptomatic disease which produces damage at the optic nerve head level. The symptoms related to glaucoma are not noticeable until severe stages of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b037f3408da60a5b69e0ff0cb7e36ca3
https://doi.org/10.1109/ecai52376.2021.9515188
https://doi.org/10.1109/ecai52376.2021.9515188
Publikováno v:
2020 International Conference on e-Health and Bioengineering (EHB).
Glaucoma represents one of the leading causes of irreversible vision loss as it affects the optic nerve fibers and astrocytes. The early detection of glaucoma has recently become an important factor in the medical field and, among various types of ey
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ba69ba144f07de01141ca2e397110f
https://doi.org/10.1109/ehb50910.2020.9280218
https://doi.org/10.1109/ehb50910.2020.9280218
Publikováno v:
2020 International Conference on e-Health and Bioengineering (EHB).
Glaucoma is the main cause for permanent blindness around the world. Early detection of glaucoma is of crucial importance in preventing blindness which is possible only through frequent eye’ examination. In addition, early glaucoma is difficult to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::859f1446ae50077dccc451dbfdc08db0
https://doi.org/10.1109/ehb50910.2020.9280173
https://doi.org/10.1109/ehb50910.2020.9280173
Publikováno v:
2020 13th International Conference on Communications (COMM).
Glaucoma is one of the leading causes of irreversible blindness around the world and remains asymptomatic until its later stages. Therefore, early diagnosis is of crucial importance. The detection of glaucoma in early stages (from color fundus images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::628baed99071c1bc737fce260406b7c7
https://doi.org/10.1109/comm48946.2020.9141990
https://doi.org/10.1109/comm48946.2020.9141990
Publikováno v:
Computer Graphics Forum. 32:152-163
Constraining 3D meshes to restricted classes is necessary in architectural and industrial design, but it can be very challenging to manipulate meshes while staying within these classes. Specifically, polyhedral meshes—those having planar faces—ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0723e004b3b3d3507b9b79e10f641b
https://doi.org/10.1111/cgf.12005
https://doi.org/10.1111/cgf.12005
Publikováno v:
2016 International Conference on Communications (COMM).
In this paper we compare the performances of three automatic methods of identifying hemangioma regions in images: 1) unsupervised segmentation using the Otsu method, 2) Fuzzy C-means clustering (FCM) and 3) an improved region growing algorithm based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a522a63702fd82a1ab67bcc428daac06
https://doi.org/10.1109/iccomm.2016.7528329
https://doi.org/10.1109/iccomm.2016.7528329