Zobrazeno 1 - 3
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pro vyhledávání: '"Cheung, Madison"'
Autor:
Nahass, George R., Koehler, Emma, Tomaras, Nicholas, Lopez, Danny, Cheung, Madison, Palacios, Alexander, Peterson, Jefferey, Hubschman, Sasha, Green, Kelsey, Purnell, Chad A., Setabutr, Pete, Tran, Ann Q., Yi, Darvin
Periorbital segmentation and distance prediction using deep learning allows for the objective quantification of disease state, treatment monitoring, and remote medicine. However, there are currently no reports of segmentation datasets for the purpose
Externí odkaz:
http://arxiv.org/abs/2409.20407
Autor:
Nahass, George R., Yazdanpanah, Ghasem, Cheung, Madison, Palacios, Alex, Peterson, Jeffery, Heinze, Kevin, Hubschman, Sasha, Purnell, Chad A., Setabutr, Pete, Tran, Ann Q., Yi, Darvin
Periorbital distances and features around the eyes and lids hold valuable information for disease quantification and monitoring of surgical and medical intervention. These distances are commonly measured manually, a process that is both subjective an
Externí odkaz:
http://arxiv.org/abs/2409.18769
Autor:
Cheung, Madison Mai-Lan1 (AUTHOR), Shah, Anil2,3 (AUTHOR) anilrshah@gmail.com
Publikováno v:
Life (2075-1729). Oct2024, Vol. 14 Issue 10, p1272. 19p.
