PMC:2940044 / 1454-2813 JSONTXT

{"project":"TEST0","denotations":[{"id":"20532890-181-186-47753","span":{"begin":181,"end":182},"obj":"[\"18832239\", \"16569779\", \"16794150\"]"},{"id":"20532890-76-81-47754","span":{"begin":263,"end":264},"obj":"[\"17409321\"]"},{"id":"20532890-79-84-47755","span":{"begin":266,"end":267},"obj":"[\"15358846\"]"},{"id":"20532890-238-243-47756","span":{"begin":532,"end":533},"obj":"[\"19527363\", \"17114540\"]"},{"id":"20532890-160-165-47757","span":{"begin":850,"end":851},"obj":"[\"17209117\"]"},{"id":"20532890-111-117-47758","span":{"begin":1113,"end":1115},"obj":"[\"12616008\", \"10572847\"]"},{"id":"20532890-125-131-47759","span":{"begin":1246,"end":1248},"obj":"[\"16244252\", \"11895300\", \"15917444\", \"10796939\"]"}],"text":"Computer-aided detection (CAD) was introduced in breast cancer screening as a technology to avoid perceptual oversights and its effectiveness has been demonstrated in many studies [1–3]. Nevertheless, there is a continuing debate regarding the usefulness of CAD [4, 5]. While most radiologists agree that CAD systems have value because of their high performance in detecting microcalcifications, many believe that current CAD algorithms for masses and architectural distortions have too many false positives to allow effective use [6–8]. Evidently, more research is needed to improve CAD algorithms. However, the lack of confidence some radiologists have in CAD may also be another reason. In previous research strong evidence was found that the performance of CAD algorithms may not be a problem, but that the concept of CAD may need to be revised [9]. The assumption on which CAD is currently based is that significant lesions initially missed by radiologists will be acted upon when CAD marks them. In practice, however, many lesions are not missed by perceptual oversight but due to incorrect interpretation [10–12]. Therefore, it is not surprising that studies reveal that many significant lesions are still missed even when CAD marks them [13–16]. To prevent such interpretation errors CAD needs to be designed to help radiologists with decision making."}

{"project":"0_colil","denotations":[{"id":"20532890-17409321-47754","span":{"begin":263,"end":264},"obj":"17409321"},{"id":"20532890-15358846-47755","span":{"begin":266,"end":267},"obj":"15358846"},{"id":"20532890-17209117-47757","span":{"begin":850,"end":851},"obj":"17209117"},{"id":"20532890-16569779-47753","span":{"begin":181,"end":182},"obj":"16569779"},{"id":"20532890-16794150-47753","span":{"begin":181,"end":182},"obj":"16794150"},{"id":"20532890-18832239-47753","span":{"begin":181,"end":182},"obj":"18832239"},{"id":"20532890-17114540-47756","span":{"begin":532,"end":533},"obj":"17114540"},{"id":"20532890-19527363-47756","span":{"begin":532,"end":533},"obj":"19527363"},{"id":"20532890-10572847-47758","span":{"begin":1113,"end":1115},"obj":"10572847"},{"id":"20532890-12616008-47758","span":{"begin":1113,"end":1115},"obj":"12616008"},{"id":"20532890-10796939-47759","span":{"begin":1246,"end":1248},"obj":"10796939"},{"id":"20532890-11895300-47759","span":{"begin":1246,"end":1248},"obj":"11895300"},{"id":"20532890-15917444-47759","span":{"begin":1246,"end":1248},"obj":"15917444"},{"id":"20532890-16244252-47759","span":{"begin":1246,"end":1248},"obj":"16244252"}],"text":"Computer-aided detection (CAD) was introduced in breast cancer screening as a technology to avoid perceptual oversights and its effectiveness has been demonstrated in many studies [1–3]. Nevertheless, there is a continuing debate regarding the usefulness of CAD [4, 5]. While most radiologists agree that CAD systems have value because of their high performance in detecting microcalcifications, many believe that current CAD algorithms for masses and architectural distortions have too many false positives to allow effective use [6–8]. Evidently, more research is needed to improve CAD algorithms. However, the lack of confidence some radiologists have in CAD may also be another reason. In previous research strong evidence was found that the performance of CAD algorithms may not be a problem, but that the concept of CAD may need to be revised [9]. The assumption on which CAD is currently based is that significant lesions initially missed by radiologists will be acted upon when CAD marks them. In practice, however, many lesions are not missed by perceptual oversight but due to incorrect interpretation [10–12]. Therefore, it is not surprising that studies reveal that many significant lesions are still missed even when CAD marks them [13–16]. To prevent such interpretation errors CAD needs to be designed to help radiologists with decision making."}

{"project":"2_test","denotations":[{"id":"20532890-18832239-29356684","span":{"begin":181,"end":182},"obj":"18832239"},{"id":"20532890-16569779-29356684","span":{"begin":181,"end":182},"obj":"16569779"},{"id":"20532890-16794150-29356684","span":{"begin":181,"end":182},"obj":"16794150"},{"id":"20532890-17409321-29356685","span":{"begin":263,"end":264},"obj":"17409321"},{"id":"20532890-15358846-29356686","span":{"begin":266,"end":267},"obj":"15358846"},{"id":"20532890-19527363-29356687","span":{"begin":532,"end":533},"obj":"19527363"},{"id":"20532890-17114540-29356687","span":{"begin":532,"end":533},"obj":"17114540"},{"id":"20532890-17209117-29356688","span":{"begin":850,"end":851},"obj":"17209117"},{"id":"20532890-12616008-29356689","span":{"begin":1113,"end":1115},"obj":"12616008"},{"id":"20532890-10572847-29356689","span":{"begin":1113,"end":1115},"obj":"10572847"},{"id":"20532890-16244252-29356690","span":{"begin":1246,"end":1248},"obj":"16244252"},{"id":"20532890-11895300-29356690","span":{"begin":1246,"end":1248},"obj":"11895300"},{"id":"20532890-15917444-29356690","span":{"begin":1246,"end":1248},"obj":"15917444"},{"id":"20532890-10796939-29356690","span":{"begin":1246,"end":1248},"obj":"10796939"}],"text":"Computer-aided detection (CAD) was introduced in breast cancer screening as a technology to avoid perceptual oversights and its effectiveness has been demonstrated in many studies [1–3]. Nevertheless, there is a continuing debate regarding the usefulness of CAD [4, 5]. While most radiologists agree that CAD systems have value because of their high performance in detecting microcalcifications, many believe that current CAD algorithms for masses and architectural distortions have too many false positives to allow effective use [6–8]. Evidently, more research is needed to improve CAD algorithms. However, the lack of confidence some radiologists have in CAD may also be another reason. In previous research strong evidence was found that the performance of CAD algorithms may not be a problem, but that the concept of CAD may need to be revised [9]. The assumption on which CAD is currently based is that significant lesions initially missed by radiologists will be acted upon when CAD marks them. In practice, however, many lesions are not missed by perceptual oversight but due to incorrect interpretation [10–12]. Therefore, it is not surprising that studies reveal that many significant lesions are still missed even when CAD marks them [13–16]. To prevent such interpretation errors CAD needs to be designed to help radiologists with decision making."}

{"project":"MyTest","denotations":[{"id":"20532890-18832239-29356684","span":{"begin":181,"end":182},"obj":"18832239"},{"id":"20532890-16569779-29356684","span":{"begin":181,"end":182},"obj":"16569779"},{"id":"20532890-16794150-29356684","span":{"begin":181,"end":182},"obj":"16794150"},{"id":"20532890-17409321-29356685","span":{"begin":263,"end":264},"obj":"17409321"},{"id":"20532890-15358846-29356686","span":{"begin":266,"end":267},"obj":"15358846"},{"id":"20532890-19527363-29356687","span":{"begin":532,"end":533},"obj":"19527363"},{"id":"20532890-17114540-29356687","span":{"begin":532,"end":533},"obj":"17114540"},{"id":"20532890-17209117-29356688","span":{"begin":850,"end":851},"obj":"17209117"},{"id":"20532890-12616008-29356689","span":{"begin":1113,"end":1115},"obj":"12616008"},{"id":"20532890-10572847-29356689","span":{"begin":1113,"end":1115},"obj":"10572847"},{"id":"20532890-16244252-29356690","span":{"begin":1246,"end":1248},"obj":"16244252"},{"id":"20532890-11895300-29356690","span":{"begin":1246,"end":1248},"obj":"11895300"},{"id":"20532890-15917444-29356690","span":{"begin":1246,"end":1248},"obj":"15917444"},{"id":"20532890-10796939-29356690","span":{"begin":1246,"end":1248},"obj":"10796939"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"Computer-aided detection (CAD) was introduced in breast cancer screening as a technology to avoid perceptual oversights and its effectiveness has been demonstrated in many studies [1–3]. Nevertheless, there is a continuing debate regarding the usefulness of CAD [4, 5]. While most radiologists agree that CAD systems have value because of their high performance in detecting microcalcifications, many believe that current CAD algorithms for masses and architectural distortions have too many false positives to allow effective use [6–8]. Evidently, more research is needed to improve CAD algorithms. However, the lack of confidence some radiologists have in CAD may also be another reason. In previous research strong evidence was found that the performance of CAD algorithms may not be a problem, but that the concept of CAD may need to be revised [9]. The assumption on which CAD is currently based is that significant lesions initially missed by radiologists will be acted upon when CAD marks them. In practice, however, many lesions are not missed by perceptual oversight but due to incorrect interpretation [10–12]. Therefore, it is not surprising that studies reveal that many significant lesions are still missed even when CAD marks them [13–16]. To prevent such interpretation errors CAD needs to be designed to help radiologists with decision making."}