✦ LIBER ✦

Development of an improved CAD scheme for automated detection of lung nodules in digital chest images

✍ Scribed by Xu, Xin-Wei; Doi, Kunio; Kobayashi, Takeshi; MacMahon, Heber; Giger, Maryellen L.

Book ID: 120294617
Publisher: American Institute of Physics
Year: 1997
Tongue: English
Weight: 302 KB
Volume: 24
Category: Article
ISSN: 0094-2405
DOI: 10.1118/1.598028

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Computerized scheme for automated detect

Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening1

✍ Arimura, Hidetaka; Katsuragawa, Shigehiko; Suzuki, Kenji; Li, Feng; Shiraishi, J 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 353 KB

Usefulness of Computerized Method for Lu

Usefulness of Computerized Method for Lung Nodule Detection in Digital Chest Radiographs Using Temporal Subtraction Images

✍ Aoki, Takatoshi; Oda, Nobuhiro; Yamashita, Yoshiko; Yamamoto, Keiji; Korogi, Yuk 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 443 KB

Development of CAD scheme for automated

Development of CAD scheme for automated detection of intracranial aneurysms in magnetic resonance angiography

✍ Hidetaka Arimura; Qiang Li; Yukunori Korogi; Toshinori Hirai; Hiroyuki Abe; Yasu 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 240 KB

Effect of Multiscale Processing in Digit

Effect of Multiscale Processing in Digital Chest Radiography on Automated Detection of Lung Nodule with a Computer Assistance System

✍ Qian He; Wen He; Keyang Wang; Daqing Ma 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 191 KB

Automated detection of pulmonary nodules

Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique

✍ Yongbum Lee, ; Hara, T.; Fujita, H.; Itoh, S.; Ishigaki, T. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 264 KB

Automated detection of pulmonary nodules

Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique

✍ Yongbum Lee, ; Hara, T.; Fujita, H.; Itoh, S.; Ishigaki, T. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 264 KB

The purpose of this study is to develop a technique for computer-aided diagnosis (CAD) systems to detect lung nodules in helical X-ray pulmonary computed tomography CT) images. We propose a novel template-matching technique based on a genetic algorithm (GA) template matching (GATM) for detecting nod