Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nour El Houda, Kraiem"'
Publikováno v:
Computer methods and programs in biomedicine. 209
Background: After the treatment of the patients with malignant lymphoma, there may persist lesions that must be labeled either as evolutive lymphoma requiring new treatments or as residual masses. We present in this work, a machine learning-based com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98afc4ee1188e7c143b1bc659b2de6c
https://pubmed.ncbi.nlm.nih.gov/34390938
https://pubmed.ncbi.nlm.nih.gov/34390938
Publikováno v:
CoDIT
Detecting lymphoma lesions in the whole body is tedious and so much time consuming. In this paper, we propose a semi-automatic lymphoma lesion detection based on Chan-Vese algorithm to help doctors in their diagnosis. In addition, this study will hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df19a803e9906730e8bd2dd3a351e5db
https://doi.org/10.1109/codit.2018.8394840
https://doi.org/10.1109/codit.2018.8394840
Autor:
Amel, Bouden, Chedia, Raissi, Mehdi, Kateb, Heithem, Rezgui, Nour El Houda, Kraiem, Mohamed Moncef, Jamoussi
Publikováno v:
La Tunisie medicale. 85(1)
The aim of the study is to evaluate the use fullness of CT in the calcaneal fractures.We reviewed retrospectively 20 cases of calcaneal fractures collected between 2000 and 2003.We describe the different CT-scan patterns in 20 calcaneal fractures, ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::52113fa703f3034652b246e61eebfbb7
https://pubmed.ncbi.nlm.nih.gov/17424705
https://pubmed.ncbi.nlm.nih.gov/17424705