Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Su Ruan"'
Publikováno v:
Journal of Imaging, Vol 9, Iss 4, p 81 (2023)
Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations. Da
Externí odkaz:
https://doaj.org/article/06622bb4e3434ad99dceb25a3a554744
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 130 (2022)
It is proven that radiomic characteristics extracted from the tumor region are predictive. The first step in radiomic analysis is the segmentation of the lesion. However, this task is time consuming and requires a highly trained physician. This proce
Externí odkaz:
https://doaj.org/article/8e71e8fead594985a33052c9cc101ad6
Autor:
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan
Publikováno v:
Entropy, Vol 24, Iss 5, p 685 (2022)
Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat and Vincent Grégoire were not included as authors in the original publication [...]
Externí odkaz:
https://doaj.org/article/0bfb40bab67a4fbf807e6f40ac0e9eb2
Autor:
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan
Publikováno v:
Entropy, Vol 24, Iss 4, p 436 (2022)
In this paper, we propose to quantitatively compare loss functions based on parameterized Tsallis–Havrda–Charvat entropy and classical Shannon entropy for the training of a deep network in the case of small datasets which are usually encountered
Externí odkaz:
https://doaj.org/article/f22e645df8374da18d4dfbd3213c313b
Publikováno v:
Array, Vol 3, Iss , Pp - (2019)
Multi-modality is widely used in medical imaging, because it can provide multiinformation about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing multi-information to improve the segmentation. Recently, deep learn
Externí odkaz:
https://doaj.org/article/1aca5e90e0ed4e0daeb16e8a5c825b06
Autor:
Paul Desbordes, Su Ruan, Romain Modzelewski, Pascal Pineau, Sébastien Vauclin, Pierrick Gouel, Pierre Michel, Frédéric Di Fiore, Pierre Vera, Isabelle Gardin
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0173208 (2017)
In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose images (FDG-PET) are of increasing interest for predictive and prognostic studies, leading to several tens of features per tumor. To select the best
Externí odkaz:
https://doaj.org/article/acd4a10ea89847038f318437067ec814
Publikováno v:
Journal of Computer Science and Technology, Vol 5, Iss 03, Pp 127-132 (2005)
This paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomi
Externí odkaz:
https://doaj.org/article/1aa9872097c74617a0044dce0f9a7b7e
Publikováno v:
Neurocomputing. 535:40-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d9b527b296366bc5d20a58ac246910
https://doi.org/10.1016/j.neucom.2023.02.047
https://doi.org/10.1016/j.neucom.2023.02.047
Autor:
Paul, Desbordes, Su, Ruan, Romain, Modzelewski, Sébastien, Vauclin, Pierre, Vera, Isabelle, Gardin
Publikováno v:
In Computerized Medical Imaging and Graphics September 2017 60:42-49
Publikováno v:
Pattern Recognition Letters. 158:125-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec226bf7c77f944b276c38e138e189e4
https://doi.org/10.1016/j.patrec.2022.04.019
https://doi.org/10.1016/j.patrec.2022.04.019