Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM
The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …
imaging systems (sources and detectors) and dose to the assessment of image quality and …
Lung cancer diagnosis and staging using firefly algorithm fuzzy C-means segmentation and support vector machine classification of lung nodules
Lung nodule segmentation is an important division of automated disease screening systems
in cancer identification. The morphological variations of lung nodules correspond to chances …
in cancer identification. The morphological variations of lung nodules correspond to chances …
The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
Lung image database consortium: developing a resource for the medical imaging research community
SG Armato III, G McLennan, MF McNitt-Gray, CR Meyer… - Radiology, 2004 - pubs.rsna.org
To stimulate the advancement of computer-aided diagnostic (CAD) research for lung
nodules in thoracic computed tomography (CT), the National Cancer Institute launched a …
nodules in thoracic computed tomography (CT), the National Cancer Institute launched a …
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
RATIONALE AND OBJECTIVES: The Lung Image Database Consortium (LIDC) is
developing a publicly available database of thoracic computed tomography (CT) scans as a …
developing a publicly available database of thoracic computed tomography (CT) scans as a …
Lung cancer screening
AK Ganti, JL Mulshine - The oncologist, 2006 - academic.oup.com
Abstract Learning Objectives After completing this course, the reader will be able to: Identify
the role of screening in the diagnosis of lung cancer. Discuss the advantages and …
the role of screening in the diagnosis of lung cancer. Discuss the advantages and …
Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1
Rationale and Objectives. Efforts to establish a quantitative approach to the computed
tomography (CT)-based characterization of the lung parenchyma in interstitial lung disease …
tomography (CT)-based characterization of the lung parenchyma in interstitial lung disease …
A comparison of lung nodule segmentation algorithms: methods and results from a multi-institutional study
Tumor volume estimation, as well as accurate and reproducible borders segmentation in
medical images, are important in the diagnosis, staging, and assessment of response to …
medical images, are important in the diagnosis, staging, and assessment of response to …
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
RATIONALE AND OBJECTIVES: The purpose of this study was to analyze the variability of
experienced thoracic radiologists in the identification of lung nodules on computed …
experienced thoracic radiologists in the identification of lung nodules on computed …
The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: A resource for the development of change‐analysis software
SG Armato III, CR Meyer… - Clinical …, 2008 - Wiley Online Library
Critical to the clinical evaluation of effective novel therapies for lung cancer is the early and
accurate determination of tumor response, which requires an understanding of the sources …
accurate determination of tumor response, which requires an understanding of the sources …