Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs

H Fujita, Y Uchiyama, T Nakagawa, D Fukuoka… - Computer methods and …, 2008 - Elsevier
H Fujita, Y Uchiyama, T Nakagawa, D Fukuoka, Y Hatanaka, T Hara, GN Lee, Y Hayashi…
Computer methods and programs in biomedicine, 2008Elsevier
The aim of this paper is to describe three emerging computer-aided diagnosis (CAD)
systems induced by Japanese health care needs. CAD has been developing fast in the last
two decades. The idea of using a computer to help in medical image diagnosis is not new.
Some pioneer studies are dated back to the 1960s. In 1998, the first US FDA (Food and
Drug Administration) approved commercial CAD system, a film-digitized mammography
system, was launched by R2 Technologies, Inc. The success was quickly repeated by a …
The aim of this paper is to describe three emerging computer-aided diagnosis (CAD) systems induced by Japanese health care needs. CAD has been developing fast in the last two decades. The idea of using a computer to help in medical image diagnosis is not new. Some pioneer studies are dated back to the 1960s. In 1998, the first U.S. FDA (Food and Drug Administration) approved commercial CAD system, a film-digitized mammography system, was launched by R2 Technologies, Inc. The success was quickly repeated by a number of companies. The approval of Medicare CAD reimbursement in the U.S. in 2001 further boosted the industry. Today, CAD has its significance in the economy of the medical industry. FDA approved CAD products in the field of breast imaging (mammography, ultrasonography and breast MRI) and chest imaging (radiography and CT) can be seen. In Japan, as part of the “Knowledge Cluster Initiative” of the government, three computer-aided diagnosis (CAD) projects are hosted at the Gifu University since 2004. These projects are regarding the development of CAD systems for the early detection of (1) cerebrovascular diseases using brain MRI and MRA images by detecting lacunar infarcts, unruptured aneurysms, and arterial occlusions; (2) ocular diseases such as glaucoma, diabetic retinopathy, and hypertensive retinopathy using retinal fundus images; and (3) breast cancers using ultrasound 3-D volumetric whole breast data by detecting the breast masses. The projects are entering their final development stage. Preliminary results are presented in this paper. Clinical examinations will be started soon, and commercialized CAD systems for the above subjects will appear by the completion of this project.
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