Results 11 to 20 of about 1,246,426 (217)

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

IEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li, Hao Chen, Le Zhang, Ning Xu, Dan Xue, Zhijie Hu, He Ma, Hongzan Sun   +7 more
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The role of advanced MRI in the development of treat-to-target therapeutic strategies, patient stratification and phenotyping in rheumatoid arthritis

BMC Rheumatology, 2020
In this commentary, we discuss the potential of advanced imaging, particularly Dynamic Contrast Enhanced (DCE) magnetic resonance imaging (MRI) for the objective assessment of the inflammatory process in rheumatoid arthritis (RA).
Ali Mobasheri, Mark Hinton, Faiq Shaikh, Olga Kubassova   +3 more
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A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

IEEE Access, 2019
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng   +7 more
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EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification, and Detection Method Evaluation

Frontiers in Microbiology, 2022
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) data ...
Peng Zhao, Chen Li, Md Mamunur Rahaman, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek   +10 more
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EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation

Frontiers in Microbiology, 2023
Nowadays, the detection of environmental microorganism indicators is essential for us to assess the degree of pollution, but the traditional detection methods consume a lot of manpower and material resources.
Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek, Marcin Grzegorzek   +15 more
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Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification

IEEE Access, 2020
In this study, we investigate the detection of cardiomegaly on frontal chest radiographs through two alternative deep-learning approaches - via anatomical segmentation and via image-level classification.
Ecem Sogancioglu, Keelin Murphy, Erdi Calli, Ernst T. Scholten, Steven Schalekamp, Bram Van Ginneken   +5 more
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Semi-MsST-GAN: A Semi-Supervised Segmentation Method for Corneal Ulcer Segmentation in Slit-Lamp Images

Frontiers in Neuroscience, 2022
Corneal ulcer is a common leading cause of corneal blindness. It is difficult to accurately segment corneal ulcers due to the following problems: large differences in the pathological shapes between point-flaky and flaky corneal ulcers, blurred boundary,
Tingting Wang, Meng Wang, Weifang Zhu, Lianyu Wang, Zhongyue Chen, Yuanyuan Peng, Fei Shi, Yi Zhou, Chenpu Yao, Xinjian Chen, Xinjian Chen   +10 more
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AFENet: Attention Fusion Enhancement Network for Optic Disc Segmentation of Premature Infants

Frontiers in Neuroscience, 2022
Retinopathy of prematurity and ischemic brain injury resulting in periventricular white matter damage are the main causes of visual impairment in premature infants.
Yuanyuan Peng, Weifang Zhu, Zhongyue Chen, Fei Shi, Meng Wang, Yi Zhou, Lianyu Wang, Yuhe Shen, Daoman Xiang, Feng Chen, Xinjian Chen, Xinjian Chen   +11 more
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Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks

IEEE Access, 2019
4D CT imaging has a great potential for use in stroke workup. A fully convolutional neural network (CNN) for 3D multiclass segmentation in 4D CT is presented, which can be trained end-to-end from sparse 2D annotations.
Sil C. Van De Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram Van Ginneken, Rashindra Manniesing   +5 more
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SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection

Applied Sciences, 2022
This paper proposes a novel Squeeze-and-excitation-based Mask Region Convolutional Neural Network (SEM-RCNN) for Environmental Microorganisms (EM) detection tasks.
Jiawei Zhang, Pingli Ma, Tao Jiang, Xin Zhao, Wenjun Tan, Jinghua Zhang, Shuojia Zou, Xinyu Huang, Marcin Grzegorzek, Chen Li   +9 more
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