Computer aided diagnosis
- 4ways diagostics, I work for this out sourcing company during non NHS hours (ongoing)
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Computer aided diagnosis (CAD) is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different from automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only.
As an early form of artificial intelligence, computer aided diagnosis systems have been used extensively within radiology for many years 1-3. The most common applications are for detection of breast cancer on mammography and of pulmonary nodules on chest CT 3. These systems traditionally relied on manual feature engineering based on domain knowledge, but newer approaches are employing machine learning to to discover latent features within imaging data.
The term is often used broadly for both computer-aided detection and computer-aided diagnosis 3:
- computer-aided detection (CADe): marks specific areas of images that may seem abnormal, designed to reduce the risk of missing pathologies of interest
- computer-aided diagnosis (CADx): helps a practitioner assess and classify pathology in medical images
-<p><strong>Computer aided diagnosis (CAD)</strong> is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different from automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only.</p><p>As an early form of <a href="/articles/artificial-intelligence">artificial intelligence</a>, computer aided diagnosis systems have been used extensively within radiology for many years <sup>1-3</sup>. The most common applications are for detection of <a href="/articles/breast-neoplasms">breast cancer</a> on <a href="/articles/mammography">mammography</a> and of <a href="/articles/pulmonary-nodule-1">pulmonary nodules</a> on <a title="Chest CT" href="/articles/computed-tomography-of-the-chest">chest CT</a> <sup>3</sup>. These systems traditionally relied on manual feature engineering based on domain knowledge, but newer approaches are employing <a href="/articles/machine-learning-1">machine learning</a> to discover latent features within imaging data.</p><p>The term is often used broadly for both computer-aided detection and computer-aided diagnosis <sup>3</sup>:</p><ul>- +<p><strong>Computer aided diagnosis (CAD)</strong> is the use of a computer generated output as an assisting tool for a clinician to make a diagnosis. It is different from automated computer diagnosis, in which the end diagnosis is based on a computer algorithm only.</p><p>As an early form of <a href="/articles/artificial-intelligence">artificial intelligence</a>, computer aided diagnosis systems have been used extensively within radiology for many years <sup>1-3</sup>. The most common applications are for detection of <a href="/articles/breast-neoplasms">breast cancer</a> on <a href="/articles/mammography">mammography</a> and of <a href="/articles/pulmonary-nodule-1">pulmonary nodules</a> on <a title="Chest CT" href="/articles/computed-tomography-of-the-chest">chest CT</a> <sup>3</sup>. These systems traditionally relied on manual feature engineering based on domain knowledge, but newer approaches are employing <a href="/articles/machine-learning-1">machine learning</a> to discover latent features within imaging data.</p><p>The term is often used broadly for both computer-aided detection and computer-aided diagnosis <sup>3</sup>:</p><ul>
Image 1 X-ray (Frontal) ( create )
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