Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Tieliang Gong"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-20 (2022)
Abstract Extracting knowledge from heterogeneous data sources is fundamental for the construction of structured biomedical knowledge graphs (BKGs), where entities and relations are represented as nodes and edges in the graphs, respectively. Previous
Externí odkaz:
https://doaj.org/article/6366d1a990cc4ddcbc01c63250e588b2
Autor:
Peiliang Lou, Chunbao Wang, Ruifeng Guo, Lixia Yao, Guanjun Zhang, Jun Yang, Yong Yuan, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract The study of histopathological phenotypes is vital for cancer research and medicine as it links molecular mechanisms to disease prognosis. It typically involves integration of heterogenous histopathological features in whole-slide images (WS
Externí odkaz:
https://doaj.org/article/9111f60ca2264a508af47b450d56c705
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Bio-entity Coreference Resolution (CR) is a vital task in biomedical text mining. An important issue in CR is the differential representation of identical mentions as their similar representations may make the coreference more puz
Externí odkaz:
https://doaj.org/article/34c88d837436431bb707f7108d97524c
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:97-108
Accurate tissue segmentation in histopathological images is essential for promoting the development of precision pathology. However, the size of the digital pathological image is great, which needs to be tiled into small patches containing limited se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd8e391884294c04c1e50511724879a
https://doi.org/10.1109/jbhi.2022.3216293
https://doi.org/10.1109/jbhi.2022.3216293
Autor:
Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li
Publikováno v:
IEEE Transactions on Medical Imaging. 41:3611-3623
Tissue segmentation is an essential task in computational pathology. However, relevant datasets for such a pixel-level classification task are hard to obtain due to the difficulty of annotation, bringing obstacles for training a deep learning-based s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57390822464a843693c143a568759e9
https://doi.org/10.1109/tmi.2022.3191398
https://doi.org/10.1109/tmi.2022.3191398
Publikováno v:
IEEE Transactions on Signal Processing. 70:6170-6184
The recently developed matrix based Renyi's entropy enables measurement of information in data simply using the eigenspectrum of symmetric positive semi definite (PSD) matrices in reproducing kernel Hilbert space, without estimation of the underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41b870854bdfa38ad47cfb3a17802f1d
https://doi.org/10.1109/tsp.2022.3233724
https://doi.org/10.1109/tsp.2022.3233724
Publikováno v:
Bioinformatics. 39
Motivation Artificially making clinical decisions for patients with multi-morbidity has long been considered a thorny problem due to the complexity of the disease. Drug recommendations can assist doctors in automatically providing effective and safe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9000686769e30cc64c725b4412cec1d
https://doi.org/10.1093/bioinformatics/btad003
https://doi.org/10.1093/bioinformatics/btad003
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b10c8ce68b5c7dfbc33c6198ae2df7
https://doi.org/10.1109/bibm55620.2022.9995416
https://doi.org/10.1109/bibm55620.2022.9995416
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e7f4bb6fd6e75782d04eab4faf2ac06
https://doi.org/10.1109/bibm55620.2022.9995551
https://doi.org/10.1109/bibm55620.2022.9995551
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::643b4f9b4b628a68d122b9f376170e0b
https://doi.org/10.1109/bibm55620.2022.9995601
https://doi.org/10.1109/bibm55620.2022.9995601