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Literature DB >> 14053755

THE CODING OF ROENTGEN IMAGES FOR COMPUTER ANALYSIS AS APPLIED TO LUNG CANCER.

G S LODWICK, T E KEATS, J P DORST.

Abstract

Keywords: AUTOMATIC DATA PROCESSING; LUNG NEOPLASMS; THORACIC RADIOGRAPHY

Mesh：

Year: 1963 PMID： 14053755 DOI： 10.1148/81.2.185

Source DB: PubMed Journal: Radiology ISSN： 0033-8419 Impact factor: 11.105

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20 in total

Review 1. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors: Maryellen L Giger; Heang-Ping Chan; John Boone
Journal: Med Phys Date: 2008-12 Impact factor: 4.071

2. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.

Authors: Szilárd Vajda; Alexandros Karargyris; Stefan Jaeger; K C Santosh; Sema Candemir; Zhiyun Xue; Sameer Antani; George Thoma
Journal: J Med Syst Date: 2018-06-29 Impact factor: 4.460

Review 3. Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?

Authors: Xin Yi; Scott J Adams; Robert D E Henderson; Paul Babyn
Journal: Radiol Artif Intell Date: 2020-01-29

4. Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph.

Authors: Jen Hong Tan; U Rajendra Acharya; Collin Tan; K Thomas Abraham; Choo Min Lim
Journal: J Med Syst Date: 2011-07-07 Impact factor: 4.460

5. Computer analysis of symptom complexes in patients having upper gastrointestinal examinations.

Authors: P Ross; A M Dutton
Journal: Am J Dig Dis Date: 1972-03

Review 6. Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.

Authors: Bo Liu; Wenhao Chi; Xinran Li; Peng Li; Wenhua Liang; Haiping Liu; Wei Wang; Jianxing He
Journal: J Cancer Res Clin Oncol Date: 2019-11-30 Impact factor: 4.553

THE CODING OF ROENTGEN IMAGES FOR COMPUTER ANALYSIS AS APPLIED TO LUNG CANCER.

Review 1. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

2. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.

Review 3. Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?

4. Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph.

5. Computer analysis of symptom complexes in patients having upper gastrointestinal examinations.

Review 6. Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.

Review 7. Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

8. A review of computer-aided diagnosis in thoracic and colonic imaging.

Review 9. Artificial intelligence in radiology.

Review 10. [Artificial intelligence in lung imaging].