Artificial Intelligence for Improved Hepatosplenomegaly Diagnosis-Reference-Cited by-同舟云学术

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Artificial Intelligence for Improved Hepatosplenomegaly Diagnosis

Published:2023-11 Issue:6 Volume:52 Page:501-504
ISSN:0363-0188
Container-title:Current Problems in Diagnostic Radiology
language:en
Short-container-title:Current Problems in Diagnostic Radiology

Author:

Rao Sriram,Glavis-Bloom Justin,Bui Thanh-Lan,Afzali Kasra,Bansal Riya,Carbone Joseph,Fateri Cameron,Roth Bradley,Chan William,Kakish David,Cortes Gillean,Wang Peter,Meraz Jeanette,Chantaduly Chanon,Chow Dan S.,Chang Peter D.,Houshyar Roozbeh

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference21 articles.

1. CT- and MRI-based volumetry of resected liver specimen: comparison to intraoperative volume and weight measurements and calculation of conversion factors;Karlo;Eur J Radiol,2010

2. Measurement of liver and spleen volume by computed tomography. Assessment of reproducibility and changes found following a selective distal splenorenal shunt;Henderson;Radiology,1981

3. Accurate measurement of liver, kidney, and spleen volume and mass by computerized axial tomography;Heymsfield;Ann Intern Med,1979

4. Sonographic measurements of the normal liver, spleen, pancreas, and portal vein;Niederau;Radiology,1983

5. Spleen size is significantly influenced by body height and sex: establishment of normal values for spleen size at US with a cohort of 1200 healthy individuals;Chow;Radiology,2016

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