Results 1 - 10 of 66

Improvement in automated detection of pulmonary nodules on helical x-ray CT images

by Du-yih Tsaia, Takeshi Harab, Hiroshi Fujitab, Shigeki Itohc, Takeo Ishigakid
"... We previously developed a scheme to automatically detect pulmonary nodules on CT images, as a part of computer-aided diagnosis (CAD) system. The proposed method consisted of two template-matching approaches based on simple models that simulate real nodules. One was a new template-matching technique ..."
Abstract - Add to MetaCart
We previously developed a scheme to automatically detect pulmonary nodules on CT images, as a part of computer-aided diagnosis (CAD) system. The proposed method consisted of two template-matching approaches based on simple models that simulate real nodules. One was a new template-matching technique

Automated Detection of Pulmonary Nodules in Helical CT Images Based on an Improved Template-Matching Technique

by Yongbum Lee, Takeshi Hara, Hiroshi Fujita, Shigeki Itoh, Takeo Ishigaki - IEEE Trans. Medical Imaging , 2001
"... 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 ..."
Abstract - Cited by 37 (0 self) - Add to MetaCart
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

Lung Area Extraction from X-ray CT Images for Computer-aided Diagnosis of Pulmonary Nodules by using Active Contour Model

by Noriyasu Homma, Satoshi Shimoyama, Tadashi Ishibashi, Makoto Yoshizawa, Noriyasu Homma, Tadashi Ishibashi, Satoshi Shimoyama, Makoto Yoshizawa
"... Abstract: In this paper, we develop a lung area extraction technique from X-ray computed tomography (CT) images for computer-aided diagnosis (CAD) systems. In lung cancer cases, pulmonary nodules are typical pathological changes and thus they are the target to be detected by CAD systems. The isolate ..."
Abstract - Add to MetaCart
Abstract: In this paper, we develop a lung area extraction technique from X-ray computed tomography (CT) images for computer-aided diagnosis (CAD) systems. In lung cancer cases, pulmonary nodules are typical pathological changes and thus they are the target to be detected by CAD systems

Detection of Pulmonary Nodules Using MTANN in Chest

by Preetha. J, G. Jay
"... Abstract- Computer aided scheme for pulmonary nodule detection in chest radiographs are to detect the pulmonary nodules (lung nodules) that are overlapped by ribs and clavicles and to minimize the false positive results caused by the ribs. Computed Tomography is used to detect lung nodules, but X-Ra ..."
Abstract - Add to MetaCart
Abstract- Computer aided scheme for pulmonary nodule detection in chest radiographs are to detect the pulmonary nodules (lung nodules) that are overlapped by ribs and clavicles and to minimize the false positive results caused by the ribs. Computed Tomography is used to detect lung nodules, but X-Rays

Lung Nodule Detection in CT Scans

by M. Antonelli, G. Frosini, B. Lazzerini, F. Marcelloni
"... Abstract—In this paper we describe a computer-aided diagnosis (CAD) system for automated detection of pulmonary nodules in computed-tomography (CT) images. After extracting the pulmonary parenchyma using a combination of image processing techniques, a region growing method is applied to detect nodul ..."
Abstract - Add to MetaCart
Abstract—In this paper we describe a computer-aided diagnosis (CAD) system for automated detection of pulmonary nodules in computed-tomography (CT) images. After extracting the pulmonary parenchyma using a combination of image processing techniques, a region growing method is applied to detect

Lung nodules detection and classification

by Paola Campadelli, Elena Casiraghi, Giorgio Valentini - in ICIP
"... Image processing techniques and Computer Aided Diagno-sis (CAD) systems have proved to be effective for the im-provement of radiologists ’ diagnosis. In this paper an au-tomatic system detecting lung nodules from Postero Ante-rior Chest Radiographs is presented. The system extracts a set of candidat ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Image processing techniques and Computer Aided Diagno-sis (CAD) systems have proved to be effective for the im-provement of radiologists ’ diagnosis. In this paper an au-tomatic system detecting lung nodules from Postero Ante-rior Chest Radiographs is presented. The system extracts a set

K.A.G. Udeshani, R.G.N. Meegama & T.G.I. Fernando Statistical Feature-based Neural Network Approach for the Detection of Lung Cancer in Chest X-Ray Images

by K. A. G. Udeshani, R. G. N. Meegama, T. G. I. Fernando
"... Lung cancer, if detected successfully at early stages, enables many treatment options, reduced risk of invasive surgery and increased survival rate. This paper presents a novel approach to detect lung cancer from raw chest X-ray images. At the first stage, we use a pipeline of image processing routi ..."
Abstract - Add to MetaCart
Lung cancer, if detected successfully at early stages, enables many treatment options, reduced risk of invasive surgery and increased survival rate. This paper presents a novel approach to detect lung cancer from raw chest X-ray images. At the first stage, we use a pipeline of image processing

Lung Nodule Detection and Analysis using VDE Chest Radiographs

by Anoop C S, Preeja V
"... Lung cancer becomes very common in our environment. Many computer-aided detection (CADe) schemes are available to detect lung nodules. So as to detect nodules in cost effective way, system uses chest radiographs (CXRs). Major challenge in those systems are the anatomical structures (ribs and clavicl ..."
Abstract - Add to MetaCart
Lung cancer becomes very common in our environment. Many computer-aided detection (CADe) schemes are available to detect lung nodules. So as to detect nodules in cost effective way, system uses chest radiographs (CXRs). Major challenge in those systems are the anatomical structures (ribs

Automated CAD for Lung Nodule Detection using CT Scan

by Shilpa Gundagi
"... Abstract: To evaluate the performance of the CAD system for automatic pulmonary nodule detect in lungs by using CT scan images. The problem can be summarized as to detect lung nodule in CT-Scan images using combined text feature and supervised learning. Detection of cancerous cells or classification ..."
Abstract - Add to MetaCart
or classification of nodules are the most important factor, to be identified by the radiologist or cancer specialist, as this forms the preliminary state for proper diagnosis of the disease. Hence our work describes on automated computer aided technique for detecting lung nodule on CT scan images.

X-ray digital linear tomosynthesis imaging

by Tsutomu Gomi, Hiroshi Hirano, Masahiro Nakajima, Tokuo Umeda , 2011
"... Aims: The purpose of this review includes the fol-lowing: 1) to identify indications for volumetric X-ray digital linear tomosynthesis by using a filtered back projection (FBP) algorithm and 2) to compare X-ray digital linear tomosynthesis, X-ray digital ra-diography, conventional tomography, and co ..."
Abstract - Add to MetaCart
, and computed tomography. Review: The methods include the fol-lowing: 1) an overview of the tomosynthesis system in comparison with conventional X-ray imaging tech-nology; 2) an overview of the properties of diagnostic imaging for the chest, hip joint, and temporomandibular joint when imaging overlying
Results 1 - 10 of 66