Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Catalina Neghina"'
Publikováno v:
2020 International Conference on e-Health and Bioengineering (EHB).
Infantile hemangioma is the most common tumor of childhood. This study proposes an automatic detection as a preliminary step for a further accurate monitoring tool to evaluate the clinical status of hemangioma. For the detection of hemangioma pixels,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c94b000cdcd5ca148922aef9d4932228
https://doi.org/10.1109/ehb50910.2020.9280279
https://doi.org/10.1109/ehb50910.2020.9280279
Publikováno v:
2020 13th International Conference on Communications (COMM).
Infantile hemangiomas are the most common type of benign tumor which appear in the first weeks of life. As currently there is no robust protocol to monitor and assess the hemangioma status, this study proposes a preliminary method to detect the lesio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0918206cf22100d2b56a1158c06706bd
https://doi.org/10.1109/comm48946.2020.9141992
https://doi.org/10.1109/comm48946.2020.9141992
Publikováno v:
2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
In this paper we describe an automatic monitoring system for the evolution of infantile hemangiomas using a fuzzy logic system based on two parameters: area and redness. To follow the evolution, we have used for each subject pairs of images at differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75b5ff897b080bce9b69644cef16b2e
https://doi.org/10.1109/atee.2019.8724880
https://doi.org/10.1109/atee.2019.8724880
Publikováno v:
MIUA
In this paper we propose a method for the automatic detection of hemangioma regions, consisting of a cascade of algorithms: a Self Organizing Map (SOM) for clustering the image pixels in 25 classes (using a 5x5 output layer) followed by a morphologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd47896ba996085e0d50d4a088facaa3
Publikováno v:
IPTA
In this paper we introduce an automatic monitoring system for the detection and the evaluation of the evolution of hemangiomas using a fuzzy logic system based on two parameters: area and redness. We have considered pairs of images (from two differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bd7910e3cbfba2fac5463840b536d83
https://doi.org/10.1109/ipta.2016.7820981
https://doi.org/10.1109/ipta.2016.7820981
Publikováno v:
2016 International Conference on Communications (COMM).
This paper presents a feature selection (FS) algorithm using Ant Colony Optimization (ACO). It is inspired by the particular behavior of real ants, namely by the fact that they are capable of finding the shortest path between a food source and the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d014fdbfcbc8377a4b705f898cfee52f
https://doi.org/10.1109/iccomm.2016.7528323
https://doi.org/10.1109/iccomm.2016.7528323
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