Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Qixun Qu"'
Autor:
Mulan Jin, Zhongyue Shi, Md. Mostafa Kamal Sarker, Farhan Akram, Vivek Kumar Singh, Yongbing Zhang, Xianchao Guan, Yueheng Li, Fangda Li, Hongwei Fan, Qixun Qu, Anant Madabhushi, Germán Corredor, Arpit Aggarwal, Zekuan Yu, Feng Xu, Shengjie Liu, Chuang Zhu
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective of saving m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37780ec25fe3b54936cdfc9752675576
http://arxiv.org/abs/2305.03546
http://arxiv.org/abs/2305.03546
Publikováno v:
Neurocomputing. 350:60-69
This paper addresses the issue of Alzheimer’s disease (AD) detection from Magnetic Resonance Images (MRIs). Existing AD detection methods rely on global feature learning from the whole brain scans, while depending on the tissue types, AD related fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a32b71cda5f228ff77ae3bfee3cfe3
https://doi.org/10.1016/j.neucom.2019.04.023
https://doi.org/10.1016/j.neucom.2019.04.023
Publikováno v:
Computers in biology and medicine. 127
Electrocardiography (ECG) is essential in many heart diseases. However, some ECGs are recorded by paper, which can be highly noisy. Digitizing the paper-based ECG records into a high-quality signal is critical for further analysis. We formulated the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8b2003ed17ef63827e896a13b5c8a29
https://pubmed.ncbi.nlm.nih.gov/33171291
https://pubmed.ncbi.nlm.nih.gov/33171291
Publikováno v:
ICIP
This paper addresses issues of grading brain tumor, glioma, from Magnetic Resonance Images (MRIs). Although feature pyramid is shown to be useful to extract multi -scale features for object recognition, it is rarely explored in MRI images for glioma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d710e167c996ce0978193da43622f8a3
https://doi.org/10.1109/icip.2018.8451682
https://doi.org/10.1109/icip.2018.8451682
Publikováno v:
Neural Computing and Applications. 27:227-240
Mammography is one of the most important methods for breast tumor detection, while existing computer-aided diagnosis (CAD) technology based on single-view mammograms ignores the contrastive feature between medio-lateral oblique (MLO) and cranio-cauda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efa755236a768a72cc646c04b6d06c5f
https://doi.org/10.1007/s00521-014-1764-0
https://doi.org/10.1007/s00521-014-1764-0
Publikováno v:
Neurocomputing. 128:175-184
Breast tumor detection in digital mammography is one of the most important methods of breast cancer prevention. Computer-aided diagnosis (CAD) based on extreme learning machine (ELM) has significant meanings for breast tumor detection as it has good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c9a635f9ad87fbcb9bf3289e9eedcf
https://doi.org/10.1016/j.neucom.2013.05.053
https://doi.org/10.1016/j.neucom.2013.05.053
Publikováno v:
2013 IEEE International Conference on Medical Imaging Physics and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e898a2d9d37d69bcaf966afbd5253ef
https://doi.org/10.1109/icmipe.2013.6864543
https://doi.org/10.1109/icmipe.2013.6864543