Journal ArticleDOI
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods
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TLDR
It is shown that the super-resolution-based approach improves the performance of the evaluated texture methods and thus outperforms the state of the art in benign/malignant tumor classification.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2017-03-01. It has received 89 citations till now. The article focuses on the topics: Local binary patterns & Phase congruency.read more
Citations
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Journal ArticleDOI
A multilayer network-enabled ultrasonic image series analysis approach for online cancer drug delivery monitoring.
TL;DR: In this article, a multilayer network-enabled image-guided drug delivery (MNE-IGDD) monitoring approach is proposed to quantify the drug delivery progress by incorporating the image intensity-based features with the detected community.
Journal ArticleDOI
Multi-scale convolution based breast cancer image segmentation with attention mechanism in conjunction with war search optimization
TL;DR: In this paper , a breast cancer tumor segmentation method consists of four steps preprocessing, augmentation, segmenting image using multi-scale convolution and multi- attention mechanisms respectively.
Journal ArticleDOI
Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images.
TL;DR: In this article, the Pearson correlation matrix was used to calculate the correlation between various features and the LASSO and stepwise regression methods were used to determine the most significant features.
Journal ArticleDOI
Features' value range approach to enhance the throughput of texture classification
Peer ReviewDOI
Breast lesion detection and visualization utilizing artificial intelligence and the H-scan
TL;DR: In this paper , the authors incorporated raw ultrasound parameters into artificial intelligence-based breast cancer diagnosis to achieve improved accuracy compared to radiologists and deep learning (DL) to achieve higher diagnostic accuracy.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
TL;DR: A generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis.
Journal ArticleDOI
The Fractal Geometry of Nature
TL;DR: A blend of erudition (fascinating and sometimes obscure historical minutiae abound), popularization (mathematical rigor is relegated to appendices) and exposition (the reader need have little knowledge of the fields involved) is presented in this article.