A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis.
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| Title: | A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis. |
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| Authors: | Zhang B; Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia.; School of Computer Science, Baoji University of Arts and Sciences, Baoji, P. R. China., Rahmatullah B; Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia., Wang SL; Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak, Malaysia., Zhang G; School of Computer Science, Baoji University of Arts and Sciences, Baoji, P. R. China., Wang H; School of Computer Science, Baoji University of Arts and Sciences, Baoji, P. R. China., Ebrahim NA; Research and Technology Department, Alzahra University, Vanak, Tehran, Iran.; Office of the Deputy Vice-Chancellor (Research & Innovation), University of Malaya, Kuala Lumpur, Malaysia. |
| Source: | Journal of applied clinical medical physics [J Appl Clin Med Phys] 2021 Oct; Vol. 22 (10), pp. 45-65. Date of Electronic Publication: 2021 Aug 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1526-9914 |
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| DOI: | 10.1002/acm2.13394 |
