Dr. Fleming Yuan Ming Lure Profile

Dr. Fleming Yuan Ming Lure

Research at MS Techn Corp.

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 3 April 2024 Presentation + Paper

Presentation + Paper

Using artificial intelligence for chest radiograph interpretation: a retrospective multi-reader-multi-case (MRMC) study of the automatic detection of multiple abnormalities and generation of diagnostic report system

Lin Guo, Guanxun Cheng, Lifei Wang, Bin Zheng, Stefan Jaeger, Maryellen Giger, Jordan Fuhrman, Hui Li, Ajay Divekar, Qian Xiao, Lingjun Qian, Li Xia, Hongjun Li, Fleming Y. Lure

Proceedings Volume 12927, 129270Y (2024) https://doi.org/10.1117/12.3005136

KEYWORDS: Chest imaging, Diagnostics, Artificial intelligence, Pulmonary disorders, Lung, Image fusion, Diseases and disorders, Deep learning, Clinical practice

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Proceedings Article | 7 April 2023 Presentation + Paper

Presentation + Paper

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models

Lin Guo, Kunlei Hong, Ziqi Zhang, Bin Zheng, Stefan Jaeger, Jordan Fuhrman, Hui Li, Maryellen Giger, Andrei Gabrielian, Alex Rosenthal, Darrell Hurt, Ziv Yaniv, Y. M. Fleming Lure

Proceedings Volume 12465, 124650R (2023) https://doi.org/10.1117/12.2653826

KEYWORDS: Education and training, Deep learning, Chest imaging, Artificial intelligence, Diseases and disorders, Image segmentation, Data modeling, COVID 19, Machine learning, Lung

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Proceedings Article | 3 April 2023 Presentation + Paper

Presentation + Paper

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images

Lin Guo, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger, Bin Zheng, Shenwen Quan, Li Xia, Guanxun Cheng, Y. M. Fleming Lure

Proceedings Volume 12467, 124670D (2023) https://doi.org/10.1117/12.2652338

KEYWORDS: Chest imaging, Diagnostics, Lung, Image segmentation, Computer aided detection, Pulmonary disorders, Education and training, Network architectures, Clinical practice, Visualization

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Proceedings Article | 4 April 2022 Poster + Paper

Poster + Paper

Early prediction of the Alzheimer’s disease risk using Tau-PET and machine learning

Lujia Wang, Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li

Proceedings Volume 12033, 120332T (2022) https://doi.org/10.1117/12.2607990

KEYWORDS: Machine learning, Alzheimer's disease, Algorithm development, Neuroimaging, Feature extraction, Data conversion, Brain, Systems engineering, Positron emission tomography, In vivo imaging

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Proceedings Article | 4 April 2022 Presentation + Paper

Presentation + Paper

Addressing imaging accessibility by cross-modality transfer learning

Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li

Proceedings Volume 12033, 120330X (2022) https://doi.org/10.1117/12.2611791

KEYWORDS: Magnetic resonance imaging, Data modeling, Performance modeling, Cognitive modeling, Alzheimer's disease, Statistical modeling, Systems modeling, Standards development, Mathematical modeling, Systems engineering

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SPIE Journal Paper | 29 December 2020 Open Access

Open Access

Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids

Fleming Lure, Zhe Luo, Maryellen Giger, Jordan Fuhrman, Zegang Dong, Jun Chen

JMI, Vol. 8, Issue S1, 014501, (December 2020) https://doi.org/10.1117/12.10.1117/1.JMI.8.S1.014501

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Proceedings Article | 27 February 2018 Presentation + Paper

Presentation + Paper

ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data

Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li

Proceedings Volume 10575, 105750I (2018) https://doi.org/10.1117/12.2293698

KEYWORDS: Alzheimer's disease, Data modeling, Magnetic resonance imaging, CAD systems, Solid modeling, Algorithm development, Positron emission tomography, Imaging systems, Dementia, Diagnostics

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Proceedings Article | 20 March 2015 Paper

Paper

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

Nastaran Emaminejad, Wei Qian, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng

Proceedings Volume 9414, 94141M (2015) https://doi.org/10.1117/12.2081617

KEYWORDS: Tumors, Lung cancer, Cancer, Image segmentation, Computed tomography, Genetics, Lung, Surgery, Image analysis, Computer aided diagnosis and therapy

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Proceedings Article | 20 March 2015 Paper

Paper

A new CAD approach for improving efficacy of cancer screening

Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu

Proceedings Volume 9414, 941424 (2015) https://doi.org/10.1117/12.2076775

KEYWORDS: Computer aided diagnosis and therapy, Mammography, Cancer, Breast, Image analysis, Breast cancer, Tissues, Magnetic resonance imaging, Image enhancement, Medical imaging

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Proceedings Article | 20 March 2014 Paper

Paper

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method

Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Flemin Lure, Teresa Wu, Giulio Francia, Sergio Cabrera, Jianying Zhang, Miguel Vélez-Reyesv, Wei Qian

Proceedings Volume 9035, 90350T (2014) https://doi.org/10.1117/12.2043708

KEYWORDS: Breast cancer, Solid state lighting, Computing systems, Machine learning, Feature selection, Cancer, Mammography, Analytical research, Statistical analysis, Computer aided diagnosis and therapy

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Proceedings Article | 11 March 2014 Paper

Paper

Evaluation of correlation between CT image features and ERCC1 protein expression in assessing lung cancer prognosis

Maxine Tan, Nastaran Emaminejad, Wei Qian, Shenshen Sun, Yan Kang, Yubao Guan, Fleming Lure, Bin Zheng

Proceedings Volume 9037, 90371Q (2014) https://doi.org/10.1117/12.2044350

KEYWORDS: Lung cancer, Proteins, Cancer, Computed tomography, Chronic obstructive pulmonary disease, Genetics, Image segmentation, Lung, Emphysema, Image processing

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Proceedings Article | 23 February 2012 Paper

Paper

Automated detection of tuberculosis on sputum smeared slides using stepwise classification

Ajay Divekar, Corina Pangilinan, Gerrit Coetzee, Tarlochan Sondh, Fleming Y. Lure, Sean Kennedy

Proceedings Volume 8315, 83153E (2012) https://doi.org/10.1117/12.910484

KEYWORDS: Algorithm development, Computer aided design, Detection and tracking algorithms, Binary data, Statistical analysis, Classification systems, Microscopes, Databases, Luminescence, Computer aided diagnosis and therapy

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Proceedings Article | 6 April 2005 Paper

Paper

Computer aided detection of lung cancer in the absence of the cancer on chest radiographs: effect of the computer-aided detection on radiologists’ performance on cancer-free cases

Teresa Osicka, Matthew Freedman, Shih-Chung Lo, Fleming Lure, Xin-Wei Xu, Jesse Lin, Ron Zhang, Hui Zhao

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.594568

KEYWORDS: Computer aided diagnosis and therapy, Cancer, Lung cancer, Chest imaging, Clinical trials, CAD systems, Switches, Statistical analysis, Radiography

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Using data from a clinical trial of a commercial CAD system for lung cancer detection we separately analyzed the location, if any, selected on each film by 15 radiologists as they interpreted chest radiographs, 160 of which did not contain cancers. On the cancer-free cases, the radiologists showed statistically significant difference in decisions while using the CAD (p-value 0.002). Average specificity without computer assistance was 78%, and with computer assistance 73%. In a clinical trial with CAD for lung cancer detection there are multiple machine false positives. On chest radiographs of older current or former smokers, there are many scars that can appear like cancer to the interpreting radiologists. We are reporting on the radiologists' false positives and on the effect of machine false positive detections on observer performance on cancer-free cases. The only difference between radiologists occurred when they changed their initial true negative decision to false positive (p-value less than 0.0001), average confidence level increased, on the scale from 0.0 to 100.0, from 16.9 (high confidence of non-cancer) to 53.5 (moderate confidence cancer was present). We are reporting on the consistency of misinterpretation by multiple radiologists when they interpret cancer-free radiographs of smokers in the absence of CAD prompts. When multiple radiologists selected the same false positive location, there was usually a definite abnormality that triggered this response. The CAD identifies areas that are of sufficient concern for cancer that the radiologists will switch from a correct decision of no cancer to mark a false positive, previously overlooked, but suspicious appearing cancer-free area; one that has often been marked by another radiologist without the use of the CAD prompt. This work has implications on what should be accepted as ground truth in ROC studies: One might ask, "What a false positive response means?" when the finding, clinically, looks like cancer-it just isn’t cancer, based on long-term follow-up or histology.

Proceedings Article | 12 May 2004 Paper

Paper

Enhancement of lung nodule detection in temporal thoracic CT

Shih-Chung Lo, J. Lin, Li-Yueh Hsu, Yuan Ming Lure, Matthew Freedman, Ruiping Li, Hui Zhao

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.537621

KEYWORDS: Computed tomography, Lung, Image registration, 3D image processing, Image segmentation, Lung cancer, Cancer, 3D vision, Chest, Signal to noise ratio

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Proceedings Article | 4 May 2004 Paper

Paper

Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD true positive/false negative detections on radiologists' confidence level

Matthew Freedman, Teresa Osicka, Shih-Chung Benedict Lo, Fleming Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Ron Zhang

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.536157

KEYWORDS: Computer aided diagnosis and therapy, Cancer, Lung cancer, Chest imaging, Medical imaging, Clinical trials, CAD systems

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Proceedings Article | 22 May 2003 Paper

Paper

Computer-aided detection of lung cancer on chest radiographs: differences in the interpretation time of radiologists showing versus not showing improvement with CAD

Teresa Osicka, Matthew Freedman, Shih-Chung Lo, Fleming Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Ron Zhang

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480347

KEYWORDS: Cancer, Computer aided diagnosis and therapy, Lung cancer, Chest imaging, CAD systems, Clinical trials, Medical imaging, Diagnostics, Classification systems

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Proceedings Article | 15 May 2003 Paper

Paper

Classification of lung nodules in diagnostic CT: an approach based on 3D vascular features, nodule density distribution, and shape features

Shih-Chung Lo, Li-Yueh Hsu, Matthew Freedman, Yuan Ming Lure, Hui Zhao

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481878

KEYWORDS: Lung, Computed tomography, Image segmentation, Diagnostics, Lung cancer, Image processing, Neural networks, 3D modeling, Chest, Tumors

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Proceedings Article | 9 May 2002 Paper

Paper

Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD false-positive locations on radiologists' behavior

Matthew Freedman, Shih-Chung Lo, Teresa Osicka, Fleming Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Ron Zhang

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467092

KEYWORDS: Computer aided diagnosis and therapy, Lung cancer, Chest imaging, Cancer, CAD systems, Clinical trials, Computing systems, Biopsy, Medical imaging

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Proceedings Article | 26 June 2001 Paper

Paper

Methods for identifying changes in radiologists' behavioral operating point of sensitivity-specificity trade-offs within an ROC study of the use of computer-aided detection of lung cancer

Matthew Freedman, Teresa Osicka, Shih-Chung Lo, Fleming Lure, Xin-Wei Xu, Jesse Lin, Ron Zhang

Proceedings Volume 4324, (2001) https://doi.org/10.1117/12.431187

KEYWORDS: Cancer, Computer aided diagnosis and therapy, Lung cancer, Mammography, Digital mammography, Statistical analysis, Biopsy, Diagnostics, Lead

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Proceedings Article | 28 May 2001 Paper

Paper

Computer-aided detection of lung cancer on chest radiographs: algorithm performance vs. radiologists' performance by size of cancer

Matthew Freedman, Shih-Chung Lo, Fleming Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Teresa Osicka, Ron Zhang

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428048

KEYWORDS: Cancer, Computer aided diagnosis and therapy, Lung cancer, Chest imaging, Remote sensing, Computing systems, Detection and tracking algorithms, System integration, CAD systems

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Proceedings Article | 16 April 1996 Paper

Paper

Multiresolution unsharp masking technique for mammogram image enhancement

Fleming Lure, Paul Jones, Roger Gaborski

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237989

KEYWORDS: Wavelets, Image enhancement, Mammography, Image filtering, Image processing, Digital filtering, Image resolution, Image contrast enhancement, Digital imaging, Optical filters

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Proceedings Article | 16 April 1996 Paper

Paper

Application of neural-network-based multistage system for detection of microcalcification clusters in mammogram images

Fleming Lure, Roger Gaborski, Thaddeus Pawlicki

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237931

KEYWORDS: Neural networks, Neurons, Mammography, Image processing, Image segmentation, Pattern recognition, Image classification, Image filtering, Network architectures, Computer aided diagnosis and therapy

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Proceedings Article | 15 April 1996 Paper

Paper

Wavelet quad-tree compression of medical images using JPEG quantization and encoding strategies

Paul Jones, Fleming Lure

Proceedings Volume 2707, (1996) https://doi.org/10.1117/12.238449

KEYWORDS: Wavelets, Quantization, Image filtering, Computer programming, Image quality, Image compression, Discrete wavelet transforms, Raster graphics, Chest, Bandpass filters

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Proceedings Article | 27 March 1996 Paper

Paper

Evaluation of the diagnostic quality of chest images compressed with JPEG and wavelet techniques: a preliminary study

Cathlyn Wen, Fleming Lure, Roger Gaborski

Proceedings Volume 2712, (1996) https://doi.org/10.1117/12.236847

KEYWORDS: Image compression, Wavelets, Image quality, Diagnostics, Lung, Chest, Quantization, Radiography, Computer programming, Chest imaging

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Proceedings Article | 27 March 1996 Paper

Paper

Contrast-detail analysis of the effect of image compression on computed tomographic images

Larry Cook, Glendon Cox, Michael Insana, Michael McFadden, Timothy Hall, Roger Gaborski, Fleming Lure

Proceedings Volume 2712, (1996) https://doi.org/10.1117/12.236849

KEYWORDS: Image compression, Head, Computed tomography, Skull, Wavelets, Detection and tracking algorithms, Tomography, Radiology, Wave propagation, Image analysis

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Proceedings Article | 14 September 1993 Paper

Paper

Shape feature analysis using artificial neural networks for improvements of hybrid lung nodule detection system

Y. Chiou, Fleming Lure, Panos Ligomenides, Matthew Freedman, Steven Fritz

Proceedings Volume 1898, (1993) https://doi.org/10.1117/12.154549

KEYWORDS: Shape analysis, Artificial neural networks, Lung

Proceedings Article | 1 June 1991 Paper

Paper

On the determination of optimal window for registration of nonlinear distributed images

Fleming Lure

Proceedings Volume 1452, (1991) https://doi.org/10.1117/12.45390

KEYWORDS: Image registration, Image processing, Radar, Meteorology, Distortion, Correlation function, Polarization, Image filtering, Algorithm development, Silver

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Showing 5 of 27 publications

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