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Cited by in F6Publishing
For: Avola D, Cinque L, Placidi G. Customized first and second order statistics based operators to support advanced texture analysis of MRI images. Comput Math Methods Med 2013;2013:213901. [PMID: 23840276 DOI: 10.1155/2013/213901] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Avola D, Cinque L, Di Mambro A, Diko A, Fagioli A, Foresti GL, Marini MR, Mecca A, Pannone D. Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images. Information 2022;13:2. [DOI: 10.3390/info13010002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
2 Mehrnahad M, Rostami S, Kimia F, Kord R, Taheri MS, Rad HS, Haghighatkhah H, Moradi A, Kord A. Differentiating glioblastoma multiforme from cerebral lymphoma: application of advanced texture analysis of quantitative apparent diffusion coefficients. Neuroradiol J 2020;33:428-36. [PMID: 32628089 DOI: 10.1177/1971400920937382] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
3 Kumar R, Verma AR, Panda MK, Kumar P. HRV Signal Feature Estimation and Classification for Healthcare System Based on Machine Learning. Communications in Computer and Information Science 2020. [DOI: 10.1007/978-981-15-6318-8_36] [Reference Citation Analysis]
4 Shivhare SN, Kumar N, Singh N. A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI. Multimed Tools Appl 2019;78:34207-29. [DOI: 10.1007/s11042-019-08048-4] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 3.8] [Reference Citation Analysis]
5 Kefel S, Pelin Kefel S, Leander RW, Kaur R, Kasmi R, Mishra NK, Rader RK, Cole JG, Woolsey ZT, Stoecker WV. Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma. Skin Res Technol 2016;22:412-22. [DOI: 10.1111/srt.12281] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.6] [Reference Citation Analysis]
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