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AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 86-91 doi: 10.15302/J-SSCAE-2018.02.013

Abstract: accessing of healthcare data, and the use of artificial intelligence to organize and analyze fragmented medical, and reduce the inequality in the allocation of medical and health resources.information semantic fusion and in the field of image analysis, and analyzes current problems and challengesmodel with the ability to combine multimodal data analysis and structured knowledge reasoning.of artificial intelligence and medical devices.

Keywords： artificial intelligence     assisted diagnosis and treatment     knowledge graph     medical ontology     medicalimage analysis    

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Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 450-469 doi: 10.1007/s11684-019-0726-4

Abstract: approaches have emerged as powerful techniques in medical image areas.Deep learning has been widely applied in medical imaging for improved image analysis.The topics include classification, detection, and segmentation tasks on medical image analysis with respectto pulmonary medical images, datasets, and benchmarks.Lastly, the application of deep learning techniques to the medical image and an analysis of their future

Keywords： deep learning     neural networks     pulmonary medical image     survey    

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Application of StrucGP in medical immunology: site-specific -glycoproteomic analysis of macrophages

Frontiers of Medicine 2023, Volume 17, Issue 2,   Pages 304-316 doi: 10.1007/s11684-022-0964-8

Abstract: vast potential of a N-glycan structural interpretation tool StrucGP in N-glycoproteomic analysis

Keywords： macrophage     glycoproteome     glycopeptides     N-glycan structures     PD-L1    

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Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: Interactive medical image segmentation based on human-in-the-loop machine learning is a novel paradigmthat draws on human expert knowledge to assist medical image segmentation.information at various timescales, we propose an interactive segmentation framework, called interactive MEdicalimage segmentation with self-adaptive Confidence CAlibration (MECCA), which combines action-based confidence

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning    

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Assessment of fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysisand digital image correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1633-1652 doi: 10.1007/s11709-022-0876-3

Abstract: Polypropylene (PP) fiber-reinforced concrete under the uniaxial compressive loading using experimental analysisand digital image correlation (DIC) on the surface displacement.

Keywords： fiber-reinforced concrete     forta-ferro and polypropylene fiber     fracture process     cracking behavior     digital image    

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15th International Congress for Stereology and Image Analysis 第十五届国际体视学与图像分析学术会议

Conference Date: 27 May 2019

Conference Place: 丹麦/奥胡斯

Administered by: 国际体视学与图像分析学会(ISSIA)

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 470-487 doi: 10.1007/s11684-020-0782-9

Abstract: deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasksIn this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology,instance segmentation) and various applications (e.g., stain normalization, cell/gland/region structure analysis

Keywords： pathology     deep learning     segmentation     detection     classification    

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Research on the Development Strategy of Medical Devices and New Wearable Devices

Cheng Jing and Xing Wanli

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 68-71 doi: 10.15302/J-SSCAE-2017.02.011

Abstract: great difficulties and challenges in its quest to transition from the low end to the high end of the medicalIn the burgeoning field of new wearable medical devices, we are encountering many more opportunitiesChinese Academy of Engineering recently organized a major advisory project: the National Health and MedicalResearch on the Development Strategies of Medical Devices and New Wearable Medical Devices is one ofAs a result, this paper studies and systematically analyzes the subject of research into medical devices

Keywords： medical devices     industry analysis     wearable devices     development strategies    

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Image analysis of soil failure on defective underground pipe due to cyclic water supply and drainage

Toshifumi MUKUNOKI, Naoko KUMANO, Jun OTANI

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 85-100 doi: 10.1007/s11709-012-0159-5

Abstract: The ground subsidence on the underground pipe often is caused with the reduction of the effective stress and the loss of suction in the base course and then, soil drainage into the pipe. The final formation of the cavity growth in the ground was observed as the ground subsidence. Authors focused this problem and hence performed model tests with water-inflow and drainage cycle in the model ground. The mechanism of cavity generation in the model ground was observed using an X-ray Computed Tomography (CT) scanner. In those studies, water was supplied into the model grounds from the defected underground pipe model in case of the change of relative density and grain size distribution. As results, it was observed that the loosening area was generated from the defected part with water-inflow and some of the soil particles in the ground were drained into the underground pipe through the defected part. And afterward, the cavity was generated just above the defected part of the model pipe in the ground. Based on this observation, it might be said that the bulk density of soil around the defected pipe played one of key factor to generate the cavity in the ground. Moreover, the dimension of the defected part should be related to the magnification of the ground subsidence, in particular, crack width on a sewerage pipe and particle size would be the quantitative factor to evaluate the magnification of the ground subsidence. ?In this paper, it was concluded that the low relative density of soil would become the critical factor to cause the fatal failure of model ground if the maximum grain size was close to the dimension of crack width of defective part. The fatal collapse of the ground with high relative density more than 80% would be avoided in a few cycles of water inflow and soil drainage.

Keywords： relative density     grain property     model test     road subsidence     underground pipe     image processing     X-ray CT    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 172-180 doi: 10.15302/J-FASE-2019256

Abstract: and the HLB PCR-positive leaves could be distinguished from the healthy by the hyperspectral modeling analysis

Keywords： citrus     HLB     hyperspectral     identification     PCR    

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A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigThis paper explores the concept of constructing a big medical data platform and introduces the clinicalMedical data can be collected and consolidated by distributed computing technology.Through analysis technology, such as artificial neural network and grey model, a medical model can beBig data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data     correlation analysis     medical information     integration     data analysis     clinical model    

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A literature review of perishable medical resource management

Frontiers of Engineering Management   Pages 710-726 doi: 10.1007/s42524-023-0278-9

Abstract: healthcare providers have faced mounting pressure to effectively manage highly perishable and limited medical

Keywords： perishable medical resources     organ transplant     healthcare products     decision analytics     operations management    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Deep Learning in Medical Ultrasound Analysis: A Review Review

Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei, Li Liu, Shawn Xiang Li, Dong Ni, Tianfu Wang

Engineering 2019, Volume 5, Issue 2,   Pages 261-275 doi: 10.1016/j.eng.2018.11.020

Abstract: From the perspective of image analysis, it is essential to develop advanced automatic US image analysisDeep learning also shows huge potential for various automatic US image analysis tasks.analysis, such as classification, detection, and segmentation.Finally, the open challenges and potential trends of the future application of deep learning in medicalUS image analysis are discussed.

Keywords： Deep learning     Medical ultrasound analysis     Classification     Segmentation     Detection    

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Title Author Date Type Operation

AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Journal Article

Survey on deep learning for pulmonary medical imaging

Jiechao Ma, Yang Song, Xi Tian, Yiting Hua, Rongguo Zhang, Jianlin Wu

Journal Article

Application of StrucGP in medical immunology: site-specific -glycoproteomic analysis of macrophages

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article

Assessment of fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysisand digital image correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Journal Article

15th International Congress for Stereology and Image Analysis 第十五届国际体视学与图像分析学术会议

27 May 2019

Conference Information

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Journal Article

Research on the Development Strategy of Medical Devices and New Wearable Devices

Cheng Jing and Xing Wanli

Journal Article

Image analysis of soil failure on defective underground pipe due to cyclic water supply and drainage

Toshifumi MUKUNOKI, Naoko KUMANO, Jun OTANI

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Journal Article

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

A literature review of perishable medical resource management

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Deep Learning in Medical Ultrasound Analysis: A Review

Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei, Li Liu, Shawn Xiang Li, Dong Ni, Tianfu Wang

Journal Article