( en | de | ru )

 

Disambiguation of "Badea, Radu"

Author of the publication

copydeleteadd this publication to your clipboard
Colorectal cancer recognition from ultrasound images, using complex textural microstructure cooccurrence matrices, based on Laws' features.

, , , and . TSP, page 458-462. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andreea Badea

Madalina Corina Badea

Adolf Radusch

Hans-Joachim Raduach

Florin Radu

 

Other publications of authors with the same name

The role of the superior order GLCM and of the generalized cooccurrence matrices in the characterization and automatic diagnosis of the hepatocellular carcinoma, based on ultrasound images., , and . ICCP, page 197-204. IEEE, (2011)Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images., , , and . EPS, SciTePress, (2016)Modelling Cutaneous Senescence Process., , , , , , , , and . ICCSA (2), volume 6017 of Lecture Notes in Computer Science, page 215-224. Springer, (2010)Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning., , , , , and . ICCP, page 491-497. IEEE, (2019)The Role of the Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images., , and . ICPRAM, page 698-705. SciTePress, (2016)Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks., , , , , and . ICCP, page 483-490. IEEE, (2019)Diseased tissue area detection and delimitation, by fusion between finite difference methods and textural analysis., , , , and . AQTR, page 1-5. IEEE, (2014)Colorectal cancer recognition from ultrasound images, using complex textural microstructure cooccurrence matrices, based on Laws' features., , , and . TSP, page 458-462. IEEE, (2015)A performance analysis for a resource manager of a content aware network., , , and . COMM, page 1-6. IEEE, (2014)Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis., , , , and . ICCP, page 205-212. IEEE, (2011)