Articles with "feature extraction" as a keyword



Photo by dtopkin1 from unsplash

Privacy‐preserving CNN feature extraction and retrieval over medical images

Sign Up to like & get
recommendations!
Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22991

Abstract: Online medicine diagnosis based on pathological images has been regarded as a pervasive method due to the advances in electronic healthcare and Internet of Things (IoT), however, it also causes storage and computing stress on… read more here.

Keywords: retrieval; privacy; privacy preserving; feature extraction ... See more keywords
Photo from wikipedia

Hybrid feature extraction techniques for microscopic hepatic fibrosis classification

Sign Up to like & get
recommendations!
Published in 2018 at "Microscopy Research and Technique"

DOI: 10.1002/jemt.22985

Abstract: Chronic liver diseases' hallmark is the fibrosis that results in liver function failure in advanced stages. One of the serious parasitic diseases affecting the liver tissues is schistosomiasis. Immunologic reactions to Schistosoma eggs leads to… read more here.

Keywords: hybrid feature; classification; fibrosis; liver diseases ... See more keywords
Photo from wikipedia

Consensus-based feature extraction in rs-fMRI data analysis

Sign Up to like & get
recommendations!
Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-017-2596-5

Abstract: The high-dimensional nature of resting state functional MRI (fMRI) data implies the need of suitable feature selection techniques. Traditional univariate techniques are fast and straightforward to interpret, but are unable to unveil relationships among multiple… read more here.

Keywords: fmri; fmri data; data analysis; consensus ... See more keywords
Photo from wikipedia

Semi-supervised fuzzy neighborhood preserving analysis for feature extraction in hyperspectral remote sensing images

Sign Up to like & get
recommendations!
Published in 2017 at "Neural Computing and Applications"

DOI: 10.1007/s00521-017-3279-y

Abstract: Semi-supervised feature extraction methods are an important focus of interest in data mining and machine learning areas. These methods are improved methods based on learning from a combination of labeled and unlabeled data. In this… read more here.

Keywords: semi supervised; method; remote sensing; feature extraction ... See more keywords

Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier

Sign Up to like & get
recommendations!
Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3754-0

Abstract: The use of iris tissue for identification is an accurate and reliable system for identifying people. This method consists of four main processing stages, namely segmentation, normalization, feature extraction, and matching. In this study, a… read more here.

Keywords: hybrid mlpnn; feature; iris tissue; feature extraction ... See more keywords
Photo from wikipedia

Novel system in vitro of classifying oral carcinogenesis based on feature extraction for gray-level co-occurrence matrix using scanned laser pico projector

Sign Up to like & get
recommendations!
Published in 2021 at "Lasers in Medical Science"

DOI: 10.1007/s10103-020-03215-8

Abstract: Oral cancer is among the top 10 causes of death due to cancer worldwide. The prognosis for oral cancer patients is not good, with a 5-year survival rate of only 50%. Earlier and more precise… read more here.

Keywords: system; carcinogenesis; gray level; cancer ... See more keywords
Photo by kaimantha from unsplash

Feature extraction algorithms to improve the speech emotion recognition rate

Sign Up to like & get
recommendations!
Published in 2020 at "International Journal of Speech Technology"

DOI: 10.1007/s10772-020-09672-4

Abstract: In this digitally growing era speech emotion recognition plays significant role in several applications such as Human Computer Interface (HCI), lie detection, automotive system to assist steering, intelligent tutoring system, audio mining, security, Telecommunication, Interaction… read more here.

Keywords: feature extraction; emotion recognition; feature; speech emotion ... See more keywords
Photo by dawson2406 from unsplash

Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm

Sign Up to like & get
recommendations!
Published in 2020 at "Journal of Medical Systems"

DOI: 10.1007/s10916-019-1504-1

Abstract: In order to realize the automatic epileptic seizure detection, feature extraction and classification of electroencephalogram (EEG) signals are performed on the interictal, the pre-ictal, and the ictal status of epilepsy patients. There is no effective… read more here.

Keywords: detection; detection epileptic; analysis; fisher linear ... See more keywords
Photo by campaign_creators from unsplash

The resin lens flaw feature extraction and detection system based on data transmission security

Sign Up to like & get
recommendations!
Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-5774-2

Abstract: Data security and privacy have become a problem which people pay more attention to. In the process of feature extraction and detection of lens defects, the security of data transmission becomes more and more important.… read more here.

Keywords: extraction; detection; data transmission; security ... See more keywords
Photo by titouhwayne from unsplash

CNN based feature extraction and classification for sign language

Sign Up to like & get
recommendations!
Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09829-y

Abstract: Hand gesture is one of the most prominent ways of communication since the beginning of the human era. Hand gesture recognition extends human-computer interaction (HCI) more convenient and flexible. Therefore, it is important to identify… read more here.

Keywords: recognition; feature extraction; classification; sign language ... See more keywords
Photo from wikipedia

Study on feature extraction technology of real-time video acquisition based on deep CNN

Sign Up to like & get
recommendations!
Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-11417-7

Abstract: In the process of image acquisition, the existing image-based real-time video acquisition system is susceptible to noise and distortion due to the influence of attitude, illumination and other conditions, which reduces the quality and stability… read more here.

Keywords: feature extraction; image; time video; real time ... See more keywords