Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Qier Meng"'
Autor:
Carrie Wright, Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager, John Muschelli, Stephanie C. Hicks
Publikováno v:
Journal of Statistics and Data Science Education, Vol 32, Iss 4, Pp 331-344 (2024)
With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice statistical thinking, as defined by Wild and Pfannkuch, with messy data addressing
Externí odkaz:
https://doaj.org/article/18a4cc5a04f84d3ea84a0a06222a2ced
Autor:
QIER MENG, ERJIA CUI, LEROUX, ANDREW, MOWRY, ELLEN M., LINDQUIST, MARTIN A., CRAINICEANU, CIPRIAN M.
Publikováno v:
Medicine & Science in Sports & Exercise; Dec2023, Vol. 55 Issue 12, p2194-2202, 9p
Publikováno v:
IEEE Transactions on Medical Imaging. 41:2067-2078
There are many types of retinal disease, and accurately detecting these diseases is crucial for proper diagnosis. Convolutional neural networks (CNNs) typically perform well on detection tasks, and the attention module of CNNs can generate heatmaps a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5af66eacf71a80a769fc3b4235384ea
https://doi.org/10.1109/tmi.2022.3155154
https://doi.org/10.1109/tmi.2022.3155154
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a615c8597f9943115499ac24431916
https://doi.org/10.1109/wacv56688.2023.00047
https://doi.org/10.1109/wacv56688.2023.00047
Publikováno v:
ISBI
Image classification using convolutional neural networks (CNNs) outperforms other state-of-the-art methods. Moreover, attention can be visualized as a heatmap to improve the explainability of results of a CNN. We designed a framework that can generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c78dd83104906923b6bd500dc4af3d
https://doi.org/10.1109/jbhi.2020.3011805
https://doi.org/10.1109/jbhi.2020.3011805
Autor:
Satoh Shin'ichi, Qier Meng
Publikováno v:
CVPR
Retinal diseases encompass a variety of types, including different diseases and severity levels. Training a model with different types of disease is impractical. Dynamically training a model is necessary when a patient with a new disease appears. Dee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5134b91b290edd8fa35e81113dc4c5
https://doi.org/10.1109/cvpr42600.2020.00409
https://doi.org/10.1109/cvpr42600.2020.00409
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030414030
ACPR (1)
ACPR (1)
Image classification using deep convolutional neural networks (DCNN) has a competitive performance with other state-of-the-art methods. Fundus image classification into disease types is also a promising application domain of DCNN. Typically fundus im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb300231db91b22df4fcf1a815853d3
https://doi.org/10.1007/978-3-030-41404-7_33
https://doi.org/10.1007/978-3-030-41404-7_33
Publikováno v:
EMBC
In this paper, we propose a clustering method with temporal ordering information for endoscopic image sequences. It is difficult to collect a sufficient amount of endoscopic image datasets to train machine learning techniques by manual labeling. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ff8b86d9b3034857f0060a2d67f8397
https://doi.org/10.1109/embc.2019.8857011
https://doi.org/10.1109/embc.2019.8857011
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 12:245-261
Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807018aaaa8ccc5149c39acb2a40222e
https://doi.org/10.1007/s11548-016-1492-2
https://doi.org/10.1007/s11548-016-1492-2
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Airway segmentation is an important step in analyzing chest CT volumes for computerized lung cancer detection, emphysema diagnosis, asthma diagnosis, and pre- and intra-operative bronchoscope navigation. However, obtaining an integrated 3-D airway tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c2d6dc7d29df55b34e1c88c816f43f
https://doi.org/10.1117/12.2254233
https://doi.org/10.1117/12.2254233