Computer aided detection (CAD): an overview
By Ronald A. Castellino. 2005
270 citations recorded by the source corpus.
Computer aided detection (CAD) is a technology designed to decrease observational oversights—and thus the false negative rates—of physicians interpreting medical images. Prospective clinical studies have demonstrated an increase in breast cancer detection with CAD assistance. This overview briefly describes the metrics that have been used to define CAD system performance.
Subfields: Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Lauren Wilcox
- M. Jorge Cardoso
- Inês Domingues
- Ines Moreira
- Igor Amaral
- Jaime S. Cardoso
- A. Cardoso
- Mingxia Liu
In Oncology
In Radiology, Nuclear Medicine and Imaging
- Lauren Wilcox
- M. Jorge Cardoso
- Inês Domingues
- Ines Moreira
- Igor Amaral
- Jaime S. Cardoso
- A. Cardoso
- Mingxia Liu
Citations in the corpus
- A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy (2020, background): “Past work on systems using artificial intelligence, such as computer-aided detection (CAD) [10] or Decision Support Tools (DSTs) [4] has highlighted several obstacles in going from research and development environments to hospital or clinical settings.”
- INbreast: toward a full-field digital mammographic database. (2012, methodology): “These datasets need to be digital, so if the images are acquired on x-ray film, they have to be digitized (15).”
- Artificial intelligence in radiology (2018, unknown): “As dependence on computers has increased, automated methods for the identification and processing of these predefined features — collectively known as computer-aided detection (CADe) — have long been proposed and occasionally utilized in the clinic 31 .”