Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

Contrast Enhanced ◽

Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images

IEEE Access ◽

10.1109/access.2020.2964755 ◽

2020 ◽

Vol 8 ◽

pp. 8595-8602 ◽

Cited By ~ 1

Author(s):

Fatemeh Zabihollahy ◽

N. Schieda ◽

E. Ukwatta

Keyword(s):

Neural Network ◽

Computed Tomography ◽

Convolutional Neural Network ◽

Renal Mass ◽

Contrast Enhanced ◽

Solid Renal Mass ◽

Fast Fourier transform-based analysis of renal masses on contrast-enhanced computed tomography images for grading of tumor

10.1117/12.2256871 ◽

2017 ◽

Cited By ~ 2

Author(s):

Bino A. Varghese ◽

Darryl H. Hwang ◽

Steven Y. Cen ◽

Bhushan B. Desai ◽

Felix Y. Yap ◽

...

Keyword(s):

Computed Tomography ◽

Fourier Transform ◽

Fast Fourier Transform ◽

Renal Masses ◽

Contrast Enhanced ◽

Correlation between radiomic features based on contrast-enhanced computed tomography images and Ki-67 proliferation index in lung cancer: A preliminary study

Thoracic Cancer ◽

10.1111/1759-7714.12821 ◽

2018 ◽

Vol 9 (10) ◽

pp. 1235-1240 ◽

Cited By ~ 7

Author(s):

Bodong Zhou ◽

Jie Xu ◽

Ye Tian ◽

Shuai Yuan ◽

Xubin Li

Keyword(s):

Computed Tomography ◽

Lung Cancer ◽

Proliferation Index ◽

Ki 67 ◽

Contrast Enhanced ◽

Preliminary Study ◽

Abstract WMP20: E-Aspects Derived Acute Ischemic Volumes on Non-Contrast Enhanced Computed Tomography Images Correlate With Diffusion Weighted Imaging Lesion Volumes and Predict Clinical Outcome in Acute Ischemic Stroke Patients

Stroke ◽

10.1161/str.50.suppl_1.wmp20 ◽

2019 ◽

Vol 50 (Suppl_1) ◽

Author(s):

Simon Nagel ◽

Olivier Joly ◽

Johannes Pfaff ◽

Panagiotes Papanagiotou ◽

Klaus Fassbender ◽

...

Keyword(s):

Computed Tomography ◽

Ischemic Stroke ◽

Clinical Outcome ◽

Acute Ischemic Stroke ◽

Diffusion Weighted Imaging ◽

Stroke Patients ◽

Contrast Enhanced ◽

Comparison of the Diagnostic Performance of Contrast-enhanced Ultrasound with That of Contrast-enhanced Computed Tomography and Contrast-enhanced Magnetic Resonance Imaging in the Evaluation of Renal Masses: A Systematic Review and Meta-analysis

European Urology Oncology ◽

10.1016/j.euo.2019.08.013 ◽

2020 ◽

Vol 3 (4) ◽

pp. 464-473 ◽

Cited By ~ 2

Author(s):

Marc A. Furrer ◽

Samuel C.J. Spycher ◽

Sophia M. Büttiker ◽

Tobias Gross ◽

Piet Bosshard ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Computed Tomography ◽

Diagnostic Performance ◽

Meta Analysis ◽

Contrast Enhanced Ultrasound ◽

Resonance Imaging ◽

Renal Masses ◽

Contrast Enhanced ◽

Influence of Methods Used to Establish Sarcopenia Cutoff Values for Skeletal Muscle Measures Using Unenhanced and Contrast-Enhanced Computed Tomography Images

Journal of Parenteral and Enteral Nutrition ◽

10.1002/jpen.1519 ◽

2019 ◽

Vol 43 (8) ◽

pp. 1028-1036 ◽

Cited By ~ 4

Author(s):

Zhichao Feng ◽

Pengfei Rong ◽

Muqing Luo ◽

Xianxi Sun ◽

Wei Wang

Keyword(s):

Computed Tomography ◽

Skeletal Muscle ◽

Cutoff Values ◽

Contrast Enhanced ◽

Prospective comparison of use of contrast-enhanced ultrasound and contrast-enhanced computed tomography in the Bosniak classification of complex renal cysts

Ultrasound ◽

10.1177/1742271x15626959 ◽

2016 ◽

Vol 24 (1) ◽

pp. 6-16 ◽

Cited By ~ 3

Author(s):

Matthew Ragel ◽

Anbu Nedumaran ◽

Jolanta Makowska-Webb

Keyword(s):

Computed Tomography ◽

Renal Cysts ◽

Contrast Enhanced Ultrasound ◽

Bosniak Classification ◽

Prospective Comparison ◽

Contrast Enhanced ◽

Independent component analysis of dynamic contrast-enhanced computed tomography images

Physics in Medicine and Biology ◽

10.1088/0031-9155/51/19/n01 ◽

2006 ◽

Vol 51 (19) ◽

pp. N339-N348 ◽

Cited By ~ 1

Author(s):

T S Koh ◽

X Yang ◽

S Bisdas ◽

C C T Lim

Keyword(s):

Computed Tomography ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced ◽

Axillary Lymph Node Metastasis Prediction by Contrast-Enhanced Computed Tomography Images for Breast Cancer Patients Based on Deep Learning

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.104715 ◽

2021 ◽

pp. 104715

Author(s):

Ziyi Liu ◽

Sijie Ni ◽

Chunmei Yang ◽

Weihao Sun ◽

Deqing Huang ◽

...

Keyword(s):

Breast Cancer ◽

Computed Tomography ◽

Axillary Lymph Node Metastasis ◽

Axillary Lymph ◽

Breast Cancer Patients ◽

Node Metastasis ◽

Contrast Enhanced ◽

Diagnostic accuracy of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging of small renal masses in real practice: sensitivity and specificity according to subjective radiologic interpretation

World Journal of Surgical Oncology ◽

10.1186/s12957-016-1017-z ◽

2016 ◽

Vol 14 (1) ◽

Cited By ~ 13

Author(s):

Jae Heon Kim ◽

Hwa Yeon Sun ◽

Jiyoung Hwang ◽

Seong Sook Hong ◽

Yong Jin Cho ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Computed Tomography ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Small Renal Masses ◽

Renal Masses ◽

Contrast Enhanced ◽

Real Practice ◽