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Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study

✍ Scribed by Bram van Ginneken; Samuel G. Armato III; Bartjan de Hoop; Saskia van Amelsvoort-van de Vorst; Thomas Duindam; Meindert Niemeijer; Keelin Murphy; Arnold Schilham; Alessandra Retico; Maria Evelina Fantacci; Niccolò Camarlinghi; Francesco Bagagli; Ilaria Gori; Takeshi Hara; Hiroshi Fujita; Gianfranco Gargano; Roberto Bellotti; Sabina Tangaro; Lourdes Bolaños; Francesco De Carlo; Piergiorgio Cerello; Sorin Cristian Cheran; Ernesto Lopez Torres; Mathias Prokop


Book ID
108207289
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
929 KB
Volume
14
Category
Article
ISSN
1361-8415

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✍ D. Shiloah Elizabeth; A. Kannan; H. Khanna Nehemiah 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 257 KB

## Abstract A computer‐aided diagnosis (CAD) system has been developed for the detection of bronchiectasis from computed tomography (CT) images of chest. A set of CT images of the chest with known diagnosis were collected and these images were first denoised using Wiener filter. The lung tissue was