Zobrazeno 1 - 10
of 393
pro vyhledávání: '"Wang, Chunliang"'
Autor:
Astaraki, Mehdi, De Benetti, Francesca, Yeganeh, Yousef, Toma-Dasu, Iuliana, Smedby, Örjan, Wang, Chunliang, Navab, Nassir, Wendler, Thomas
Robust and accurate detection and segmentation of heterogenous tumors appearing in different anatomical organs with supervised methods require large-scale labeled datasets covering all possible types of diseases. Due to the unavailability of such ric
Externí odkaz:
http://arxiv.org/abs/2305.12358
Publikováno v:
In Building and Environment 15 June 2024 258
Autor:
Wang, Chunliang, Su, Kai, Hu, Linming, Wu, Siqing, Zhan, Yiqiang, Yang, Chongguang, Xiang, Jianbang
Publikováno v:
In Indoor Environments June 2024 1(2)
Publikováno v:
In Environmental Pollution 1 May 2024 348
Autor:
Liu, Yingting, Li, Danyang, Zhao, Han, Wang, Chunliang, Xu, Yang, Li, Luyao, Li, Zhiqiang, Wang, Hua, Li, Kongzhai
Publikováno v:
In Chemical Engineering Journal 15 August 2024 494
Autor:
Lai, Yu, Han, Jie, Qiu, Dongxian, Liu, Xinyan, Sun, Kan, Fan, Yuzhu, Wang, Chunliang, Zhang, Song
Publikováno v:
In Heliyon 30 April 2024 10(8)
Autor:
Hu, Linmin, Wu, Siqing, Zhang, Yunhui, Xia, Xuedan, Shu, Yuelong, He, Qiangsheng, Manshan, Huang, Kuo, Zicong, Zhao, Yingya, Wang, Pengpeng, Li, Yanfei, Wang, Chunliang, Su, Kai, Han, Hengyi, Yuan, Jinqiu, Xiang, Jianbang, Xia, Bin
Publikováno v:
In Public Health April 2024 229:144-150
Autor:
Bendazzoli, Simone, Brusini, Irene, Astaraki, Mehdi, Persson, Mats, Yu, Jimmy, Connolly, Bryan, Nyrén, Sven, Strand, Fredrik, Smedby, Örjan, Wang, Chunliang
Segmentation of COVID-19 lesions from chest CT scans is of great importance for better diagnosing the disease and investigating its extent. However, manual segmentation can be very time consuming and subjective, given the lesions' large variation in
Externí odkaz:
http://arxiv.org/abs/2012.14752
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification
Autor:
Mahbod, Amirreza, Schaefer, Gerald, Wang, Chunliang, Ecker, Rupert, Dorffner, Georg, Ellinger, Isabella
Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions when compared to unaided visual inspection. Hence, computer-based meth
Externí odkaz:
http://arxiv.org/abs/2006.14715
Autor:
Brusini, Irene, Padilla, Daniel Ferreira, Barroso, José, Skoog, Ingmar, Smedby, Örjan, Westman, Eric, Wang, Chunliang
Brain MRI segmentation results should always undergo a quality control (QC) process, since automatic segmentation tools can be prone to errors. In this work, we propose two deep learning-based architectures for performing QC automatically. First, we
Externí odkaz:
http://arxiv.org/abs/2005.13987