Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists. (Record no. 29149797)

MARC details
000 -LEADER
fixed length control field 01530 a2200421 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250518013022.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 202002s 0 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1759-7714
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1111/1759-7714.12931
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency NLM
Language of cataloging eng
Transcribing agency NLM
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Li, Li
264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice 20200207
245 00 - TITLE STATEMENT
Title Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Medium [electronic resource]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Thoracic cancer
Date of publication, distribution, etc. 02 2019
300 ## - PHYSICAL DESCRIPTION
Extent 183-192 p.
Other physical details digital
500 ## - GENERAL NOTE
General note Publication Type: Comparative Study; Evaluation Study; Journal Article
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Case-Control Studies
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep Learning
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Diagnosis, Computer-Assisted
General subdivision methods
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Early Detection of Cancer
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Female
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Follow-Up Studies
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Humans
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Male
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Middle Aged
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiple Pulmonary Nodules
General subdivision diagnosis
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Prognosis
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Radiologists
General subdivision statistics & numerical data
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Reproducibility of Results
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Solitary Pulmonary Nodule
General subdivision diagnosis
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tomography, X-Ray Computed
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liu, Zhou
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huang, Hua
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lin, Meng
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Luo, Dehong
773 0# - HOST ITEM ENTRY
Title Thoracic cancer
Related parts vol. 10
-- no. 2
-- p. 183-192
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1111/1759-7714.12931">https://doi.org/10.1111/1759-7714.12931</a>
Public note Available from publisher's website

No items available.