Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Cai, Jinzheng"'
Autor:
Cheng, Chi-Tung, Cai, Jinzheng, Teng, Wei, Zheng, Youjing, Huang, YuTing, Wang, Yu-Chao, Peng, Chien-Wei, Tang, Youbao, Lee, Wei-Chen, Yeh, Ta-Sen, Xiao, Jing, Lu, Le, Liao, Chien-Hung, Harrison, Adam P.
Hepatocellular carcinoma (HCC) can be potentially discovered from abdominal computed tomography (CT) studies under varied clinical scenarios, e.g., fully dynamic contrast enhanced (DCE) studies, non-contrast (NC) plus venous phase (VP) abdominal stud
Externí odkaz:
http://arxiv.org/abs/2108.07492
Autor:
Tang, Youbao, Yan, Ke, Cai, Jinzheng, Huang, Lingyun, Xie, Guotong, Xiao, Jing, Lu, Jingjing, Lin, Gigin, Lu, Le
Measuring lesion size is an important step to assess tumor growth and monitor disease progression and therapy response in oncology image analysis. Although it is tedious and highly time-consuming, radiologists have to work on this task by using RECIS
Externí odkaz:
http://arxiv.org/abs/2105.01828
Autor:
Tang, Youbao, Cai, Jinzheng, Yan, Ke, Huang, Lingyun, Xie, Guotong, Xiao, Jing, Lu, Jingjing, Lin, Gigin, Lu, Le
Accurately segmenting a variety of clinically significant lesions from whole body computed tomography (CT) scans is a critical task on precision oncology imaging, denoted as universal lesion segmentation (ULS). Manual annotation is the current clinic
Externí odkaz:
http://arxiv.org/abs/2105.01218
Autor:
Lai, Bolin, Wu, Yuhsuan, Bai, Xiaoyu, Zhou, Xiao-Yun, Wang, Peng, Cai, Jinzheng, Huo, Yuankai, Huang, Lingyun, Xia, Yong, Xiao, Jing, Lu, Le, Hu, Heping, Harrison, Adam
Using radiological scans to identify liver tumors is crucial for proper patient treatment. This is highly challenging, as top radiologists only achieve F1 scores of roughly 80% (hepatocellular carcinoma (HCC) vs. others) with only moderate inter-rate
Externí odkaz:
http://arxiv.org/abs/2012.06964
Monitoring treatment response in longitudinal studies plays an important role in clinical practice. Accurately identifying lesions across serial imaging follow-up is the core to the monitoring procedure. Typically this incorporates both image and ana
Externí odkaz:
http://arxiv.org/abs/2012.04872
Autor:
Yan, Ke, Cai, Jinzheng, Jin, Dakai, Miao, Shun, Guo, Dazhou, Harrison, Adam P., Tang, Youbao, Xiao, Jing, Lu, Jingjing, Lu, Le
Radiological images such as computed tomography (CT) and X-rays render anatomy with intrinsic structures. Being able to reliably locate the same anatomical structure across varying images is a fundamental task in medical image analysis. In principle
Externí odkaz:
http://arxiv.org/abs/2012.02383
Autor:
Raju, Ashwin, Ji, Zhanghexuan, Cheng, Chi Tung, Cai, Jinzheng, Huang, Junzhou, Xiao, Jing, Lu, Le, Liao, ChienHung, Harrison, Adam P.
Mask-based annotation of medical images, especially for 3D data, is a bottleneck in developing reliable machine learning models. Using minimal-labor user interactions (UIs) to guide the annotation is promising, but challenges remain on best harmonizi
Externí odkaz:
http://arxiv.org/abs/2009.02455
Autor:
Yan, Ke, Cai, Jinzheng, Zheng, Youjing, Harrison, Adam P., Jin, Dakai, Tang, Youbao, Tang, Yuxing, Huang, Lingyun, Xiao, Jing, Lu, Le
Large-scale datasets with high-quality labels are desired for training accurate deep learning models. However, due to the annotation cost, datasets in medical imaging are often either partially-labeled or small. For example, DeepLesion is such a larg
Externí odkaz:
http://arxiv.org/abs/2009.02577
Autor:
Cai, Jinzheng, Yan, Ke, Cheng, Chi-Tung, Xiao, Jing, Liao, Chien-Hung, Lu, Le, Harrison, Adam P.
Identifying, measuring and reporting lesions accurately and comprehensively from patient CT scans are important yet time-consuming procedures for physicians. Computer-aided lesion/significant-findings detection techniques are at the core of medical i
Externí odkaz:
http://arxiv.org/abs/2008.13254
Autor:
Chao, Chun-Hung, Zhu, Zhuotun, Guo, Dazhou, Yan, Ke, Ho, Tsung-Ying, Cai, Jinzheng, Harrison, Adam P., Ye, Xianghua, Xiao, Jing, Yuille, Alan, Sun, Min, Lu, Le, Jin, Dakai
Determining the spread of GTV$_{LN}$ is essential in defining the respective resection or irradiating regions for the downstream workflows of surgical resection and radiotherapy for many cancers. Different from the more common enlarged lymph node (LN
Externí odkaz:
http://arxiv.org/abs/2008.13013