[HTML][HTML] Paradigm shift from Artificial Neural Networks (ANNs) to deep Convolutional Neural Networks (DCNNs) in the field of medical image processing
Images and other types of unstructural data in the medical domain are rapidly becoming
data-intensive. Actionable insights from these complex data present new opportunities but …
data-intensive. Actionable insights from these complex data present new opportunities but …
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping
A number of studies on lung nodule classification lack clinical/biological interpretations of
the features extracted by convolutional neural network (CNN). The methods like class …
the features extracted by convolutional neural network (CNN). The methods like class …
[HTML][HTML] Hybrid classification of diffuse liver diseases in ultrasound images using deep convolutional neural networks
Despite the fact that liver biopsy is considered to be the gold standard for detecting diffuse
liver diseases, it is an invasive method with numerous side effects. Diffuse liver diagnosis …
liver diseases, it is an invasive method with numerous side effects. Diffuse liver diagnosis …
Human vision inspired feature extraction for facial expression recognition
H Sadeghi, AA Raie - Multimedia Tools and Applications, 2019 - Springer
Facial expression is a powerful way for human emotional communications. According to
various applications, automatic facial expression recognition becomes an interesting …
various applications, automatic facial expression recognition becomes an interesting …
Road surface classification based on LBP and GLCM features using kNN classifier
AA Fauzi, F Utaminingrum, F Ramdani - Bulletin of Electrical Engineering …, 2020 - beei.org
Abstract Autonomous Ground Vehicle (UGV) technology has shown a fast development this
past year and proven to be useful. The use of UGV technology is restricted on a particular …
past year and proven to be useful. The use of UGV technology is restricted on a particular …
An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks
The objective of this study was to design and produce highly comfortable shoe products
guided by a plantar pressure imaging data-set. In this research a plantar pressure optical …
guided by a plantar pressure imaging data-set. In this research a plantar pressure optical …
A clinical decision support system for predicting cirrhosis stages via high frequency ultrasound images
X Liu, RL Ma, J Zhao, JL Song, JQ Zhang… - Expert Systems with …, 2021 - Elsevier
Many visceral organs contain two important structures: capsule and parenchyma. As a non-
invasive examination method, ultrasound is widely used. In this study, we develop a …
invasive examination method, ultrasound is widely used. In this study, we develop a …
Palm vein recognition using enhanced symmetry local binary pattern and sift features
HT Van, CM Duong, G Van Vu… - 2019 19th International …, 2019 - ieeexplore.ieee.org
Recently, palm vein recognition is new biometric technology with a high degree of privacy
and security because this technique uses the blood vessels under the palm skin to establish …
and security because this technique uses the blood vessels under the palm skin to establish …
Detection of skin cancer with adaptive fuzzy classifier using improved whale optimization
N Durgarao, G Sudhavani - Biomedical Engineering/Biomedizinische …, 2020 - degruyter.com
Skin cancer is considered as a well-known type of cancer globally, and its occurrence has
been found to be raised in current days. Researchers state that the disease requires early …
been found to be raised in current days. Researchers state that the disease requires early …
One dimensional second order derivative local binary pattern for hand gestures classification using sEMG signals
SM Tabatabaei, A Chalechale - 2018 8th International …, 2018 - ieeexplore.ieee.org
Due to computational simplicity and outstanding ability of one dimensional local binary
pattern (1DLBP) to capture the most representative structures of 1D signals, this operator …
pattern (1DLBP) to capture the most representative structures of 1D signals, this operator …