Results 51 to 60 of about 429,650 (191)

Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network

open access: yesIEEE Access, 2022
Nowadays, diagnosis of thyroid nodules is mainly based on clinical methods, which requires a lot of manpower and medical resources. Therefore, this work proposes an automated thyroid ultrasound nodule diagnosis method that combines convolutional neural ...
Xiaohui Zhao   +7 more
doaj   +1 more source

Multispectral palmprint recognition using textural features [PDF]

open access: yes2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2014
5 pages, Published in IEEE Signal Processing in Medicine and Biology Symposium ...
Minaee, Shervin, Abdolrashidi, AmirAli
openaire   +3 more sources

Micro Image Classification of 19 High-value Hardwood Species Based on Texture Feature Fusion

open access: yesBioResources, 2023
For classification of wood species with similar microstructure, 19 high-value hardwood species of Papilionaceae, Ebenaceae, and Caesalpiniaceae were used as experimental objects.
Xiaoxia Yang   +6 more
doaj   +2 more sources

Diagnostic value of multiparametric MRI combined with an interpretable machine learning model in the differentiation of benign and malignant ovarian-adnexal lesions classified as O-RADS 4

open access: yesBMC Medical Imaging
Objects Explore value of multiparametric MRI texture features in differentiating O-RADS MRI 4 ovarian-adnexal lesions. Methods A retrospective study was conducted, involving the clinical and MRI data of patients with ovarian - adnexal tumors that were ...
Yiming Zhu   +4 more
doaj   +1 more source

Bearing Fault Diagnosis Based on Subband Time-Frequency Texture Tensor

open access: yesIEEE Access, 2019
The texture feature tensor established from a subband time-frequency image (TFI) was extracted and used to identify the fault states of a rolling bearing.
Lin Bo   +3 more
doaj   +1 more source

Classification of Time-Series Images Using Deep Convolutional Neural Networks

open access: yes, 2017
Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data.
Abdel-Hamid   +28 more
core   +1 more source

A Comparison on Features Efficiency in Automatic Reconstruction of Archeological Broken Objects [PDF]

open access: yes, 2008
Automatic reconstruction of archeological broken objects is an invaluable tool for restoration purposes and personnel. In this paper, we assume that broken pieces have similar characteristics on their common boundaries, when they are correctly combined ...
Ercil, Aytul   +5 more
core  

Boojums and the Shapes of Domains in Monolayer Films

open access: yes, 1999
Domains in Langmuir monolayers support a texture that is the two-dimensional version of the feature known as a boojum. Such a texture has a quantifiable effect on the shape of the domain with which it is associated.
B. Fischer   +29 more
core   +1 more source

Analysis and classification of myocardial infarction tissue from echocardiography images based on texture analysis [PDF]

open access: yes, 2006
Texture analysis is an important characteristic for automatic visual inspection for surface and object identification from medical images and other type of images. This paper presents an application of wavelet extension and Gray level cooccurrence matrix
Abu-Bakar, S. A. R.   +2 more
core  

Constrained Texture Mapping And Foldover-free Condition [PDF]

open access: yes, 2010
Texture mapping has been widely used in image processing and graphics to enhance the realism of CG scenes. However to perfectly match the feature points of a 3D model with the corresponding pixels in texture images, the parameterisation which maps a ...
Yang, Xiaosong   +2 more
core  

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