Results 11 to 20 of about 18,646,034 (305)

Medical imaging analysis with artificial neural networks [PDF]

, 2010
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
core   +4 more sources

EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks

Frontiers in Medicine, 2023
Background and purposeColorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide.
Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +18 more
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Analysis of carotid vulnerable plaque MRI high-risk features and clinical risk factors associated with concomitant acute cerebral infarction

BMC Cardiovascular Disorders, 2023
Background This study aimed to investigate the correlation between the high-risk characteristics of high-resolution MRI carotid vulnerable plaques and the clinical risk factors and concomitant acute cerebral infarction (ACI).
Yongxiang Tang, Jinping Zhang, Weizhou Liu, Wei Jin, Shijian Li, Zhen Qian, Xiaoquan Kong, Ran Zhang, Juanjuan HU, Baolin LI, Weiming Yuan, Yifan Zhang   +11 more
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An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

IEEE Access, 2020
The main obstacle to image augmentation with Generative Adversarial Networks (GANs) is the need for a large amount of training data, but this is difficult for small datasets like Environmental Microorganisms (EMs). EM image analysis plays a vital role in
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng   +9 more
doaj   +1 more source

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

Intelligent Medicine, 2023
Background: Breast cancer has the highest prevalence among all cancers in women globally. The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.
Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek   +10 more
doaj   +1 more source

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos

IEEE Access, 2020
A behavior description helps analyze tiny objects, similar objects, objects with weak visual information, and objects with similar visual information. It plays a fundamental role in the identification and classification of dynamic objects in microscopic ...
Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang   +11 more
doaj   +1 more source

Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]

, 2008
One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A., Marshall, Stephen
core   +5 more sources

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

Applied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang, Xin Zhao, Tao Jiang, Jinghua Zhang, Peng Zhao, Ao Chen, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +9 more
doaj   +1 more source

Medical emergencies in medical imaging [PDF]

BMJ Quality & Safety, 2012
Sending inpatients to the medical imaging department is sometimes tantamount to discharging them from hospital for hours at a time. Consider, for example, a patient with an unexplained acute abdomen where an urgent CT scan is indicated. Patient transport, logistical delays and the procedure itself may lead to gaps in monitoring vital signs, providing ...
John A, Staples, Donald A, Redelmeier
openaire   +2 more sources

Correlation Between the Dermoscopic Features and the Histopathological Features of Common Erythematosquamous Skin Diseases: the Consensus Statement of Chinese Experts (2021)

Xiehe Yixue Zazhi, 2021
As a non-invasive and rapid diagnostic tool, dermoscopy has been widely applied to erythematosquamous skin diseases, and has significantly improved the efficiency of clinical work and diagnostic accuracy.
Dermatology Branch of China International Exchange and Promoting Association for Medical and Health Care, Huaxia Skin Image and Artificial Intelligence Cooperation, China International Exchange and Promotive Association for Medical and Health Care, Department of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College   +4 more
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