Literature DB >> 9520979

Hepatic imaging. An overview.

H M Taylor1, P R Ros.   

Abstract

Recent advances in ultrasound, CT scan, MR imaging, and scintigraphy permit characterization of a variety of focal and diffuse liver diseases. Accurate clinical information, however, is of vital importance in selecting the optimal imaging modality and interpreting the study accurately. Using a combination of radiologic findings and clinical information, a correct diagnosis may be achieved noninvasively.

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Year:  1998        PMID: 9520979     DOI: 10.1016/s0033-8389(05)70019-1

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  6 in total

1.  Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.

Authors:  Idit Diamant; Assaf Hoogi; Christopher F Beaulieu; Mustafa Safdari; Eyal Klang; Michal Amitai; Hayit Greenspan; Daniel L Rubin
Journal:  IEEE J Biomed Health Inform       Date:  2015-09-11       Impact factor: 5.772

2.  Radiomics Study for Differentiating Focal Hepatic Lesions Based on Unenhanced CT Images.

Authors:  Xitong Zhao; Pan Liang; Liuliang Yong; Yan Jia; Jianbo Gao
Journal:  Front Oncol       Date:  2022-04-27       Impact factor: 5.738

3.  Acoustic liver biopsy using endoscopic ultrasound.

Authors:  Hemanth K Andanappa; Qing Dai; Annapurna Korimilli; Kashyap Panganamamula; Frank Friedenberg; Larry Miller
Journal:  Dig Dis Sci       Date:  2008-02-13       Impact factor: 3.199

4.  Acoustic liver biopsy in patients with hepatitis C and advanced liver fibrosis using endoscopic ultrasound.

Authors:  Anil Vegesna; Amer Nazir; Chan Y Chung; Saul Kane; Rebecca Thomas; Larry Miller
Journal:  Dig Dis Sci       Date:  2011-04-01       Impact factor: 3.487

5.  Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Authors:  Jihye Baek; Sedigheh S Poul; Terri A Swanson; Theresa Tuthill; Kevin J Parker
Journal:  Ultrasound Med Biol       Date:  2020-09-08       Impact factor: 3.694

6.  A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO.

Authors:  Huiyan Jiang; Ruiping Zheng; Dehui Yi; Di Zhao
Journal:  Comput Math Methods Med       Date:  2013-12-04       Impact factor: 2.238

  6 in total

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