Results 11 to 20 of about 1,363,601 (269)

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 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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The CT and MRI Findings and Differential Diagnosis of Sebaceous Carcinoma of Eyelid and Basal Cell Carcinoma

CT Lilun yu yingyong yanjiu, 2022
Objective: To improve the ability of differential diagnosis of sebaceous carcinoma of eyelid and basal cell carcinoma by investigating their CT and MRI findings.
Shuang WU, Wei CAO, Tao ZHANG, Xu XU
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Medical imaging [PDF]

Postgraduate Medical Journal, 1991
Summary and conclusionsThere is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest
openaire   +2 more sources

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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Mn doped Prussian blue nanoparticles for T1/T2 MR imaging, PA imaging and Fenton reaction enhanced mild temperature photothermal therapy of tumor

Journal of Nanobiotechnology, 2022
Background Combining the multimodal imaging and synergistic treatment in one platform can enhance the therapeutic efficacy and diagnosis accuracy. Results In this contribution, innovative Mn-doped Prussian blue nanoparticles (MnPB NPs) were prepared via ...
Quan Tao, Genghan He, Sheng Ye, Di Zhang, Zhide Zhang, Li Qi, Ruiyuan Liu   +6 more
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Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification

International Islamic University Malaysia Engineering Journal, 2023
Sensitive data including medical images and electronic patient records (EPR) have potential value in the era of big data and telemedicine applications.
Ledya Novamizanti, Andriyan Bayu Suksmono, Donny Danudirdjo, Gelar Budiman   +3 more
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Clinical and MRI Features of Tumors of Septum Pellucidum

Zhongliu Fangzhi Yanjiu, 2018
Objective To investigate the clinical and magnetic resonance imaging (MRI) features of the tumors of septum pellucidum. Methods We analyzed retrospectively the clinical data of 45 patients with the tumors of septum pellucidum confirmed by operation and ...
HAO Ni'na, JIN Song, HAN Tong, LI Li, CUI Shimin   +4 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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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

European Radiology Experimental, 2020
Background Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exists, involving sophisticated pipelines trained and validated on different datasets ...
Johannes Hofmanninger, Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs   +5 more
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