Dr. Maryellen L. Giger
A. N. Pritzker Professor Radiology/Medical Physics at Univ of Chicago
SPIE Involvement:
Equity, Diversity and Inclusion Committee | Board of Editors | Compensation Committee | Nominating Committee | Conference Program Committee | Editor-in-Chief: Journal of Medical Imaging | Author | Instructor | Student Chapter Advisor | Startup Challenge Judge
Area of Expertise:
computer-aided diagnosis , computerized lesion detection , digital medical imaging , quantitative image analysis , reader/observer ROC studies , digital image analysis
Publications (152)

Proceedings Article | 22 May 2020
Proc. SPIE. 11513, 15th International Workshop on Breast Imaging (IWBI2020)
KEYWORDS: Breast, Mammography, Biopsy, Diagnostics, Computer-aided diagnosis, Computer aided diagnosis and therapy, Cancer, Data modeling, Dual energy x-ray absorptiometry, Digital mammography, Machine learning, Neural networks, Dual energy imaging

Proceedings Article | 23 April 2020
Proc. SPIE. 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment

Proceedings Article | 16 March 2020
Proc. SPIE. 11320, Medical Imaging 2020: Digital Pathology
KEYWORDS: Image segmentation, Biopsy, Tissues, Confocal microscopy, Image analysis, Network architectures

Proceedings Article | 16 March 2020
Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis
KEYWORDS: Magnetic resonance imaging, Feature extraction, Computer aided diagnosis and therapy, Breast, Breast cancer, Neural networks, Image classification, Imaging systems, Machine learning, Computer vision technology, Artificial intelligence

Proceedings Article | 16 March 2020
Proc. SPIE. 11314, Medical Imaging 2020: Computer-Aided Diagnosis
KEYWORDS: Magnetic resonance imaging, Tumors, Breast cancer, Feature extraction, Statistical analysis, Performance modeling

Showing 5 of 152 publications
Proceedings Volume Editor (3)

SPIE Conference Volume | 27 February 2009

SPIE Conference Volume | 11 April 2008

SPIE Conference Volume | 8 March 2007

Conference Committee Involvement (21)
Computer-Aided Diagnosis
15 February 2021 | San Diego, California, United States
Computer-Aided Diagnosis
16 February 2020 | Houston, Texas, United States
Computer-Aided Diagnosis
17 February 2019 | San Diego, California, United States
SPIE/COS Photonics Asia
11 October 2018 | Beijing, China
Computer-Aided Diagnosis
12 February 2018 | Houston, Texas, United States
Showing 5 of 21 Conference Committees
Course Instructor
SC356: Digital Mammography and Computer-Aided Diagnosis
The term Digital Mammography refers to the technology that is used for the electronic capture and display of x-ray images of the breast. In this process, film is not essential but it may be used as a recording medium for viewing and storing digital mammographic images. The various digital mammographic technologies are reviewed with emphasis on detector design and acquisition approach. These technologies include flat panel detectors using amorphous silicon detector arrays with a scintillator, flat panel amorphous selenium, stimulable phosphors, and slot scanning techniques using charge-coupled devices. Recent progress on advanced applications, such as tomographic and 3-D imaging of the breast, is presented. The interpretation of breast images can benefit from computer technology with advances in CAD. Computer-aided diagnosis (CAD) can be defined as a diagnosis made by a radiologist who uses the output from a computerized analysis of medical images as a second opinion in detecting lesions and in making diagnostic decisions. The final diagnosis is made by the radiologist. Rationale, computerized image analysis methods, and evaluation of performance of multi-modality CAD in the detection, diagnosis, and risk assessment of breast cancer will be reviewed.
SC882: Computer-Aided Diagnosis
The interpretation of medical images is expected to benefit from computer technology with advances in CAD. Computer-aided diagnosis (CAD) can be defined as a diagnosis made by a radiologist who uses the output from a computerized analysis of medical images as a second opinion in detecting lesions and in making diagnostic decisions. The final diagnosis is made by the radiologist. Rationale, computerized image analysis methods, evaluation methods, and translational clinical studies of CAD in the detection, diagnosis, and risk assessment of cancer will be reviewed. Specific examples will be presented in breast imaging, thoracic imaging, and colonography.
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