Prof. Claudia R. Mello-Thoms
Research Associate Professor at University of Iowa
SPIE Involvement:
Conference Program Committee | Editorial Board Member: Journal of Medical Imaging | Author | Editor
Area of Expertise:
Image Perception , Image Understanding , Visual Search , Digital Pathology , Human Learning , Cognitive Modeling
Websites:
Profile Summary

My research focuses on understanding and modeling how low-level perceptual processes influence high-level cognitive decisions. I have developed a quantitative model of image exploration and lesion identification. I have applied this model to the identification of the reasons why some cancers in mammograms are correctly reported by breast radiologists, whereas others are correctly detected but dismissed.

Currently I am working on several projects in Digital Pathology. The introduction of virtual slides has created unique opportunities to study pathologists' process, as well as to gain insights into the relatively high inter-observer variability rates in histopathology.
Publications (58)

Proceedings Article | 4 March 2019
Proc. SPIE. 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Modeling, Statistical analysis, Tumor growth modeling, Cancer, Breast cancer, Visualization, Error analysis, Feature extraction, Mammography, Machine learning

SPIE Journal Paper | 11 August 2018
JMI Vol. 5 Issue 03
KEYWORDS: Visualization, Data modeling, Breast, Visual process modeling, Mammography, Eye models, Cancer, Eye, Machine learning, Error analysis

Proceedings Article | 6 July 2018
Proc. SPIE. 10718, 14th International Workshop on Breast Imaging (IWBI 2018)
KEYWORDS: Breast, Cancer, Breast cancer, Databases, Image segmentation, Pathology, Diagnostics, Neural networks, Machine learning, Image classification

Proceedings Article | 7 March 2018
Proc. SPIE. 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Breast, Cancer, Breast cancer, Visualization, Medical research, Medical imaging, Mammography, Health sciences, Digital mammography

Proceedings Article | 7 March 2018
Proc. SPIE. 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Breast, Modeling, Eye, Visual process modeling, Cancer, Data modeling, Visualization, Mammography, Machine learning, Statistical modeling

Showing 5 of 58 publications
Conference Committee Involvement (15)
Image Perception, Observer Performance, and Technology Assessment
19 February 2020 | Houston, Texas, United States
Image Perception, Observer Performance, and Technology Assessment
20 February 2019 | San Diego, California, United States
Image Perception, Observer Performance, and Technology Assessment
11 February 2018 | Houston, Texas, United States
Image Perception, Observer Performance, and Technology Assessment Posters
12 February 2017 | Orlando, FL, United States
Image Perception, Observer Performance, and Technology Assessment
12 February 2017 | Orlando, Florida, United States
Showing 5 of 15 Conference Committees
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