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pro vyhledávání: '"Feng, Yunlu"'
Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis. However, most models generally require large-scale annotated data for training, which faces chal
Externí odkaz:
http://arxiv.org/abs/2311.12316
Autor:
Zhang, Tianyi, Lyu, Shangqing, Lei, Yanli, Chen, Sicheng, Ying, Nan, He, Yufang, Zhao, Yu, Feng, Yunlu, Lee, Hwee Kuan, Zhang, Guanglei
Pathological image analysis is a crucial field in computer vision. Due to the annotation scarcity in the pathological field, pre-training with self-supervised learning (SSL) is widely applied to learn on unlabeled images. However, the current SSL-bas
Externí odkaz:
http://arxiv.org/abs/2311.06712
Autor:
ZHAO Yizhou, LI Jianing, WANG Qiang, WU Dongsheng, ZHANG Shengyu, WU Xi, GUO Tao, JIANG Qingwei, YANG Yingyun, SHI Wen, FENG Yunlu, YANG Aiming
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 819-824 (2024)
ObjectiveTo explore the application value of endoscopic ultrasound fine-needle aspiration (EUS-FNA) and endoscopic retrograde cholangiopancreatography (ERCP) in the diagnosis and treatment ofpatients with pancreatic cancer combined with obstructive j
Externí odkaz:
https://doaj.org/article/894936233afa4984940d5966b24e675c
Autor:
Zhang, Tianyi, Yan, Zhiling, Li, Chunhui, Ying, Nan, Lei, Yanli, Feng, Yunlu, Zhao, Yu, Zhang, Guanglei
In pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task. To overcome this challenge, mixing-based methods have emerged as effective alternatives to traditional preprocessing data augm
Externí odkaz:
http://arxiv.org/abs/2301.11513
Autor:
Zhang, Tianyi, Feng, Youdan, Feng, Yunlu, Zhao, Yu, Lei, Yanli, Ying, Nan, Yan, Zhiling, He, Yufang, Zhang, Guanglei
The rapid on-site evaluation (ROSE) technique can signifi-cantly accelerate the diagnosis of pancreatic cancer by im-mediately analyzing the fast-stained cytopathological images. Computer-aided diagnosis (CAD) can potentially address the shortage of
Externí odkaz:
http://arxiv.org/abs/2208.06833
The rapid on-site evaluation (ROSE) technique can significantly ac-celerate the diagnostic workflow of pancreatic cancer by immediately analyzing the fast-stained cytopathological images with on-site pathologists. Computer-aided diagnosis (CAD) using
Externí odkaz:
http://arxiv.org/abs/2206.03080
Autor:
Zhang, Tianyi, Feng, Yunlu, Zhao, Yu, Fan, Guangda, Yang, Aiming, Lyu, Shangqin, Zhang, Peng, Song, Fan, Ma, Chenbin, Sun, Yangyang, Feng, Youdan, Zhang, Guanglei
Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality. The rapid on-site evaluation (ROSE) technique innovates the workflow by immediately analyzing the fast stained cytopathological
Externí odkaz:
http://arxiv.org/abs/2112.13513
Autor:
Zhang, Tianyi, Feng, Youdan, Zhao, Yu, Lei, Yanli, Ying, Nan, Song, Fan, He, Yufang, Yan, Zhiling, Feng, Yunlu, Yang, Aiming, Zhang, Guanglei
Publikováno v:
In Computer Methods and Programs in Biomedicine February 2024 244
Akademický článek
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Autor:
Machicado, Jorge D., Napoleon, Bertrand, Lennon, Anne Marie, El-Dika, Samer, Pereira, Stephen P., Tan, Damien, Pannala, Rahul, Girotra, Mohit, Kongkam, Pradermchai, Bertani, Helga, Feng, Yunlu, Sijie, Hao, Zhong, Ning, Valantin, Vincent, Leblanc, Sarah, Hinton, Alice, Krishna, Somashekar G.
Publikováno v:
In Pancreatology November 2022 22(7):994-1002