Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT
Year: 2003
Type: conference-paper
DOI: 10.1117/12.480181
Authors: Kenji Suzuki, Samuel G. Armato III, Feng Li, Shusuke Sone, Kunio Doi
Institutions: University of Chicago, Azumi Hospital
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2024715873
