Results 61 to 70 of about 17,818 (183)

Exploring the Correlation Between Surgical Depth and Postoperative Voice Rest Duration in a Rabbit Phonomicrosurgery Model

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective The optimal duration of voice rest after phonomicrosurgery remains a subject of debate, as clinical studies on its effect on vocal fold wound healing have yielded conflicting results, and a controlled animal model for investigating voice rest is currently unavailable. This study aimed to determine the optimal postoperative voice rest
Lin‐Lin Lan   +2 more
wiley   +1 more source

Proposed Classification System by Using Artificial Neural Network [PDF]

open access: yesKirkuk Journal of Science, 2015
The research presented in this paper was aimed to develop a recognition system for microscopic images of human tissues samples. The system should classify different types of tissues (i.e., Breast, Liver and blood cells).
Esraa Z. Mohammed
doaj   +1 more source

AI‐Powered TAT‐Net Hyperspectral Imaging for Rapid and Accurate Differentiation of Sinonasal Inverted Papilloma and Malignancy

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Sinonasal inverted papilloma (IP) and malignancies share overlapping clinical and endoscopic features, and conventional histopathology frequently requires time‐consuming adjunct immunohistochemistry. Hyperspectral imaging (HSI) can capture subtle spectral changes associated with malignant transformation that are not apparent on ...
Hao‐Miao Zhao   +4 more
wiley   +1 more source

Perbandingan Kinerja Support Vector Machine (SVM) Dalam Mengenali Wajah Menggunakan SURF DAN GLCM [PDF]

open access: yes, 2019
Face recognition is one part of the biometrics research. Face recognition is widely used in identification and recognition process. Speed-up Robust Feature (SURF) is one of feature extraction method used in face recognition system.
Khairun Saddami   +7 more
core   +1 more source

SD LMS L-Filters for Filtration of Gray Level Images in Timespatial Domain Based on GLCM Features

open access: yesAdvances in Electrical and Electronic Engineering, 2008
In this paper, the new kind of adaptive signal-dependent LMS L-filter for suppression of a mixed noise in greyscale images is developed. It is based on the texture parameter measurement as modification of spatial impulse detector structure. Moreover, the
Robert Hudec   +2 more
doaj  

K-MEANS CLUSTERING FOR EGG EMBRYO'S DETECTION BASED-ON STATISTICAL FEATURE EXTRACTION APPROACH OF CANDLING EGGS IMAGE

open access: yesJurnal Ilmiah SINERGI, 2020
This research discusses the detection of embryonic eggs using the k-means clustering method based on statistical feature extraction. The processes that occur in detection are image acquisition, image enhancement, feature extraction, and identification ...
Shoffan Saifullah
doaj   +1 more source

Machine learning approach for classification of maculopapular and vesicular rashes using the textural features of the skin images

open access: yesCogent Engineering, 2022
Skin, being the largest organ of the body, suffers different disorders, and one such is rashes caused because of infections. The rashes appear in different forms, and most often their texture features are different.
Sudhakara Upadya P   +3 more
doaj   +1 more source

An efficient implementation of GLCM algorithm in FPGA

open access: yes, 2018
International audienceThis paper presents hardware (HW) architecture for fast parallel computation of Gray Level Co-occurrence Matrix (GLCM) in high throughput image analysis applications.
Kammoun, M   +4 more
core   +1 more source

Review on enhancing clinical decision support system using machine learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood   +4 more
wiley   +1 more source

Texture Analysis Using Indocyanine Green Fluorescence Measurement During Porcine Hypothermic Oxygenated Machine Perfusion

open access: yesArtificial Organs, EarlyView.
A novel quantitative method using Indocyanine Green (ICG) fluorescence image for assessing organ viability during hypothermic oxygenated machine perfusion (HOPE), specifically focusing on homogeneous flow distribution analyzed with the gray‐scale level co‐occurrence matrix (GLCM) method, can predict portal vein resistance induced by ischemic ...
Yuga Okazawa   +10 more
wiley   +1 more source

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