Texture analysis in radiology: Does the emperor have no clothes?
Author:
Funder
NIH Clinical Center
Publisher
Springer Science and Business Media LLC
Subject
Urology,Gastroenterology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s00261-016-0950-1.pdf
Reference44 articles.
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2. Canellas R, Mehrkhani F, Patino M, Kambadakone A, Sahani D (2016) Characterization of portal vein thrombosis (neoplastic versus bland) on CT images using software-based texture analysis and thrombus density (Hounsfield units). AJR Am J Roentgenol . doi: 10.2214/AJR.15.15928
3. Schieda N, Thornhill RE, Al-Subhi M, et al. (2015) Diagnosis of sarcomatoid renal cell carcinoma with CT: evaluation by qualitative imaging features and texture analysis. AJR Am J Roentgenol 204:1013–1023
4. De Cecco CN, Ciolina M, Caruso D, et al. (2016) Performance of diffusion-weighted imaging, perfusion imaging, and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR: initial experience. Abdom Radiol (NY) . doi: 10.1007/s00261-016-0733-8
5. Takahashi N, Takeuchi M, Sasaguri K, et al. (2016) CT negative attenuation pixel distribution and texture analysis for detection of fat in small angiomyolipoma on unenhanced CT. Abdom Radiol (NY) 41:1142–1151
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