Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Shin, Yeong Gil"'
Autor:
Ben-Hamadou, Achraf, Smaoui, Oussama, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Lim, Hoyeon, Kim, Minchang, Lee, Minkyung, Chung, Minyoung, Shin, Yeong-Gil, Leclercq, Mathieu, Cevidanes, Lucia, Prieto, Juan Carlos, Zhuang, Shaojie, Wei, Guangshun, Cui, Zhiming, Zhou, Yuanfeng, Dascalu, Tudor, Ibragimov, Bulat, Yong, Tae-Hoon, Ahn, Hong-Gi, Kim, Wan, Han, Jae-Hwan, Choi, Byungsun, van Nistelrooij, Niels, Kempers, Steven, Vinayahalingam, Shankeeth, Strippoli, Julien, Thollot, Aurélien, Setbon, Hugo, Trosset, Cyril, Ladroit, Edouard
Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health. However, developing automated algorithms f
Externí odkaz:
http://arxiv.org/abs/2305.18277
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Latif, Siddique, Byon, Shi Sub, Kim, Sung Hyun, Khan, Tariq Mahmood, Shin, Yeong Gil
Accurate lung nodule segmentation is crucial for early-stage lung cancer diagnosis, as it can substantially enhance patient survival rates. Computed tomography (CT) images are widely employed for early diagnosis in lung nodule analysis. However, the
Externí odkaz:
http://arxiv.org/abs/2304.01576
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Latif, Siddique, Byon, Shi Sub, Lee, Byoung Dai, Kim, Sung Hyun, Lee, Byung il, Shin, Yeong Gil
In this study, we propose a lung nodule detection scheme which fully incorporates the clinic workflow of radiologists. Particularly, we exploit Bi-Directional Maximum intensity projection (MIP) images of various thicknesses (i.e., 3, 5 and 10mm) alon
Externí odkaz:
http://arxiv.org/abs/2211.00003
Autor:
Rehman, Azka, Usman, Muhammad, Jawaid, Rabeea, Saleem, Amal Muhammad, Byon, Shi Sub, Kim, Sung Hyun, Lee, Byoung Dai, Lee, Byung il, Shin, Yeong Gil
Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts determine the implant position and dimensions manually from 3D CT images to avoid damaging the mandibular nerve inside the canal. In this pa
Externí odkaz:
http://arxiv.org/abs/2210.03739
Accurate three-dimensional perception is a fundamental task in several computer vision applications. Recently, commercial RGB-depth (RGB-D) cameras have been widely adopted as single-view depth-sensing devices owing to their efficient depth-sensing a
Externí odkaz:
http://arxiv.org/abs/2207.07016
Semi-supervised learning for medical image segmentation is an important area of research for alleviating the huge cost associated with the construction of reliable large-scale annotations in the medical domain. Recent semi-supervised approaches have
Externí odkaz:
http://arxiv.org/abs/2205.06987
Publikováno v:
In Neurocomputing 14 November 2024 606
Publikováno v:
In Computers in Biology and Medicine January 2025 184
Recent works in medical image segmentation have actively explored various deep learning architectures or objective functions to encode high-level features from volumetric data owing to limited image annotations. However, most existing approaches tend
Externí odkaz:
http://arxiv.org/abs/2105.07672
Individual tooth segmentation and identification from cone-beam computed tomography images are preoperative prerequisites for orthodontic treatments. Instance segmentation methods using convolutional neural networks have demonstrated ground-breaking
Externí odkaz:
http://arxiv.org/abs/2102.01315