Resource Type

Journal Article 222

Year

2024 1

2023 15

2022 25

2021 13

2020 32

2019 24

2018 15

2017 19

2016 10

2015 10

2014 7

2013 2

2012 7

2011 5

2010 2

2009 5

2008 4

2007 5

2006 7

2005 1

open ︾

Keywords

digital image correlation 7

Deep learning 5

medical education 4

3D printing 3

3D bioprinting 2

Additive manufacturing 2

COVID-19 2

Classification 2

Compressive sensing 2

Dictionary learning 2

Ensemble learning 2

Feature extraction 2

Feature learning 2

High-speed railway 2

Image segmentation 2

MEMS 2

Scaffold 2

Segmentation 2

artificial intelligence 2

open ︾

Search scope:

排序： Display mode:

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.To better use the interaction information at various timescales, we propose an interactive segmentationframework, called interactive MEdical image segmentation with self-adaptive Confidence CAlibration (Numerical experiments on different segmentation tasks show that MECCA can significantly improve short

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

HTML Collect

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalanalyze and identify the key components of cutting slope images in complex scenes and achieve rapid image-basedThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

HTML PDF Collect

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: In this paper, a large-scale underwater crack examination method is proposed based on image stitchingand segmentation.The graph convolutional neural network (GCN) was used to segment the stitched image.higher than Fully convolutional networks (FCN), proving that GCN has great potential of application in imagesegmentation and underwater image processing.

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

HTML PDF Collect

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    

HTML PDF Collect

Interactive image segmentation with a regression based ensemble learning paradigm Article

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 1002-1020 doi: 10.1631/FITEE.1601401

Abstract: To achieve fine segmentation of complex natural images, people often resort to an interactive segmentationThis paper presents a novel interactive image segmentation method via a regression-based ensemble modelFinally, the GraphCut is introduced and combined with the SVR ensemble results to achieve image segmentationvalidated that the proposed method is comparable with the state-of-the-art methods for in-teractive natural imagesegmentation.

Keywords： Interactive image segmentation     Multivariate adaptive regression splines (MARS)     Ensemble learning     Thin-plate    

HTML PDF Collect

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: In this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology,including different tasks (e.g., classification, semantic segmentation, detection, and instance segmentation

Keywords： pathology     deep learning     segmentation     detection     classification    

HTML PDF Collect

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography Article

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 741-749 doi: 10.1631/FITEE.1601169

Abstract: In this study, our main focus was on using circular image region segmentation, which is the basis ofThe image boundary characteristics were defined and obtained based on the following: (1) an edge modelOn this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphereimage, fitting the circular boundary and computing the center and radius by the least squares methodThe method was unrelated to the parameters of the image acquisition device.

Keywords： Fisheye lens     Least squares method     Image segmentation     Ecology in image processing     Hemispherical photography    

HTML PDF Collect

Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 89-96

Abstract:

Image segmentation is treated as a key issue in image processing and Having the aid of extraction of transition region to segment image is a kind of burgeoning technology

Keywords： transition region     extraction     image segmentation     gradient method     non-gradient method    

HTML PDF Collect

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 challengesThe first is the standardized representation and structural integration of medical information to mergeof artificial intelligence and medical devices.

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

HTML PDF Collect

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    

HTML PDF Collect

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation Research Article

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 571-586 doi: 10.1631/FITEE.2000695

Abstract: temperature change characteristics in the sampled data of the infrared video stream and reconstruct the imageto obtain the infrared reconstructed image (IRRI) reflecting the defect characteristics.The designed segmentation objective function is used to ensure the effectiveness of results for noisemulti-objective evolutionary algorithm based on decomposition (MOEA/D) is used for optimization to ensure damage segmentation

Keywords： Hypervelocity impact damage     Defect detection     Gaussian mixture model     Image segmentation    

HTML PDF Collect

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    

HTML PDF Collect

Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation None

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 471-480 doi: 10.1631/FITEE.1620342

Abstract: The segmentation of brain tumor plays an important role in diagnosis, treatment planning, and surgicalThe precise segmentation of brain tumor can help clinicians obtain its location, size, and shape informationWe propose a fully automatic brain tumor segmentation method based on kernel sparse coding.To assess the segmentation performance, the segmentation results are uploaded to the online evaluationIt is competitive to the other groups in the brain tumor segmentation challenge.

Keywords： Brain tumor segmentation     Kernel method     Sparse coding     Dictionary learning    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

Title Author Date Type Operation

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

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Journal Article

Survey on deep learning for pulmonary medical imaging

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

Journal Article

Interactive image segmentation with a regression based ensemble learning paradigm

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Journal Article

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

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Journal Article

Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Journal Article

AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

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

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Journal Article

A literature review of perishable medical resource management

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article