Computer-aided diagnosis: A survey with bibliometric analysis

•The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis.•CAD research has been classified and categorized by disease types and imaging modalities.•CAD research initially started with mammograms CAD, has progressed to brain disease CAD.•Based on our result...

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Bibliographic Details
Published inInternational journal of medical informatics (Shannon, Ireland) Vol. 101; pp. 58 - 67
Main Authors Takahashi, Ryohei, Kajikawa, Yuya
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.05.2017
Subjects
Algorithms
Bibliometric analysis
Bibliometrics
Breast Neoplasms - diagnosis
CAD
Citation network analysis
Computer-aided diagnosis
Diagnosis, Computer-Assisted - methods
Female
Humans
Internal Medicine
Mammography - methods
Other
Surveys and Questionnaires
Citation network analysis
Bibliometric analysis
Computer-aided diagnosis
CAD
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Abstract •The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis.•CAD research has been classified and categorized by disease types and imaging modalities.•CAD research initially started with mammograms CAD, has progressed to brain disease CAD.•Based on our results, we discussed future directions and opportunities of CAD research; model, data, and instruments. Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments—for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed.
AbstractList Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments-for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed.Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments-for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed.
Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments-for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed.
•The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis.•CAD research has been classified and categorized by disease types and imaging modalities.•CAD research initially started with mammograms CAD, has progressed to brain disease CAD.•Based on our results, we discussed future directions and opportunities of CAD research; model, data, and instruments. Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments—for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed.
Highlights • The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis. • CAD research has been classified and categorized by disease types and imaging modalities. • CAD research initially started with mammograms CAD, has progressed to brain disease CAD. • Based on our results, we discussed future directions and opportunities of CAD research; model, data, and instruments.
Author Takahashi, Ryohei
Kajikawa, Yuya
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  givenname: Yuya
  surname: Kajikawa
  fullname: Kajikawa, Yuya
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Keywords Citation network analysis
Bibliometric analysis
Computer-aided diagnosis
CAD
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SecondaryResourceType review_article
Snippet •The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis.•CAD research has been classified and categorized by...
Highlights • The development of computer-aided diagnosis(CAD) has been summarized with citation network analysis. • CAD research has been classified and...
Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves...
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pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 58
SubjectTerms Algorithms
Bibliometric analysis
Bibliometrics
Breast Neoplasms - diagnosis
CAD
Citation network analysis
Computer-aided diagnosis
Diagnosis, Computer-Assisted - methods
Female
Humans
Internal Medicine
Mammography - methods
Other
Surveys and Questionnaires
Title Computer-aided diagnosis: A survey with bibliometric analysis
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