Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Leonel Mera-Jimenez"'
Publikováno v:
IEEE Access, Vol 11, Pp 27066-27085 (2023)
Brain tumors are usually fatal diseases with low life expectancies due to the organs they affect, even if the tumors are benign. Diagnosis and treatment of these tumors are challenging tasks, even for experienced physicians and experts, due to the he
Externí odkaz:
https://doaj.org/article/5b31a209632942679fa622566e76efa7
Publikováno v:
IEEE Access, Vol 10, Pp 23217-23233 (2022)
The exponential growth of deep learning networks has allowed us to tackle complex tasks, even in fields as complicated as medicine. However, using these models requires a large corpus of data for the networks to be highly generalizable and with high
Externí odkaz:
https://doaj.org/article/935520a19bac433ca7862b1bf7119b7b
Autor:
Andres Anaya-Isaza, Leonel Mera-Jimenez, Johan Manuel Cabrera-Chavarro, Lorena Guachi-Guachi, Diego Peluffo-Ordonez, Jorge Ivan Rios-Patino
Publikováno v:
IEEE Access, Vol 9, Pp 152206-152225 (2021)
Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cancer mortality. However, these figures can be reduced with early diagnosis through mammographic imaging, allowing for the timely and effective treatm
Externí odkaz:
https://doaj.org/article/24da7c29b1dc4ff89aab881bc428dc86
Publikováno v:
European Journal of Radiology Open, Vol 10, Iss , Pp 100484- (2023)
Early detection and diagnosis of brain tumors are crucial to taking adequate preventive measures, as with most cancers. On the other hand, artificial intelligence (AI) has grown exponentially, even in such complex environments as medicine. Here it’
Externí odkaz:
https://doaj.org/article/76791e38cc674404ad64e06f650d21d2
Publikováno v:
TecnoLógicas, Vol 24, Iss 50, Pp e1626-e1626 (2021)
La resonancia magnética funcional en estado de reposo (rs-fMRI) es una de las técnicas más relevantes en exploración cerebral. No obstante, la misma es susceptible a muchos factores externos que pueden ocluir la señal de interés. En este orden
Externí odkaz:
https://doaj.org/article/c79b2c21cc5b473cbb25256cbbe67d31
Publikováno v:
Informatics in Medicine Unlocked, Vol 26, Iss , Pp 100723- (2021)
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential growth in recent years. The scientific community has focused its attention on DL due to its versatility, high performance, high generalization capacity, an
Externí odkaz:
https://doaj.org/article/594c2000f260448299ff69ed227dd029