Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Laura Diosan"'
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30836- (2024)
Background: Dental cavities are common oral diseases that can lead to pain, discomfort, and eventually, tooth loss. Early detection and treatment of cavities can prevent these negative consequences. We propose CariSeg, an intelligent system composed
Externí odkaz:
https://doaj.org/article/62bd5073f98948c1a2e96d5b303be4c4
Autor:
Dragoș DOBREAN, Laura Dioșan
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 64, Iss 2 (2019)
The mobile market grows larger year by year and at the core of those devices, we have the mobile applications that push the technological advancement forward continuously. Due to the increased hardware performance and the popularity of those devices
Externí odkaz:
https://doaj.org/article/c9af9b77ac0449b0904d357a55462c8c
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 62, Iss 1 (2017)
Cellular Automata have been considered for a series of applications among which several image processing tasks. The goal of this paper is to investigate such existing methods, supporting the broader goal of identifying Cellular Automata rules able to
Externí odkaz:
https://doaj.org/article/71a5181bc620427192c3e3e065b2f5a9
Autor:
Bianca Boca, Cosmin Caraiani, Teodora Telecan, Roxana Pintican, Andrei Lebovici, Iulia Andras, Nicolae Crisan, Alexandru Pavel, Laura Diosan, Zoltan Balint, Monica Lupsor-Platon, Mircea Marian Buruian
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2300 (2023)
(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI
Externí odkaz:
https://doaj.org/article/070e3c84687e4d7f852bd959b6607789
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1965 (2021)
Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning met
Externí odkaz:
https://doaj.org/article/db29dd5c78de4fab871d306368e68084
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 55, Iss 3, Pp 25-36 (2010)
Building an efficient model for automatic alignment of terminologies would bring a significant improvement to the information retrieval process. We have developed and compared two machine learning based algorithms whose aim is to align 2 custom stand
Externí odkaz:
https://doaj.org/article/1a7f480761204359b07f496933d13652
Publikováno v:
In Procedia Computer Science 2021 192:883-892
Autor:
Zoltán Bálint, Larisa Gabriela Coroama, Laura Diosan, Teodora Telecan, Iulia Andras, Nicolae Crisan, Anca Andreica, Cosmin Caraiani, Andrei Lebovici, Bianca Boca
Publikováno v:
Current Medical Imaging Formerly Current Medical Imaging Reviews. 20
Introduction: Prostate magnetic resonance imaging (MRI) has been recently integrated into the pathway of diagnosis of prostate cancer (PCa). However, the lack of an optimal contrast-to-noise ratio hinders automatic recognition of suspicious lesions,
Autor:
Sergiu Limboi, Laura Diosan
Publikováno v:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).