scholarly journals Evaluation and Severity Classification of Facial Paralysis using Salient Point Selection Algorithm

2015 ◽  
Vol 123 (7) ◽  
pp. 23-29 ◽  
Author(s):  
K. Anguraj ◽  
S. Padma
Keyword(s):  
Facial Paralysis ◽  
Selection Algorithm ◽  
Salient Point ◽  
Point Selection ◽  
Severity Classification

scholarly journals Classification of Rice Leaf Spot Disease using Local Binary Patterns

2020 ◽  
Vol 9 (6) ◽  
pp. 510-512
Keyword(s):  
Feature Vector ◽  
Research Work ◽  
Local Binary Patterns ◽  
Extraction Process ◽  
Healthy Plant ◽  
Leaf Spot Disease ◽  
Salient Point ◽  
Point Selection ◽  
Single Feature

The fundamental objective of this work is to develop an image processing framework that can perceive a proper methodology for ContentBasedImageRetrieval(CBIR) in Leaf Inadequacy. The salient point selection concept is utilized by selecting the Salient points from the edgy image and the concept of inter-plane relationship method is imposed, LocalBinaryPatterns (LBPs) are computed with respect to the center pixel of the salient point. The research work consists primarily of three sections, namely representation of the leaf image, extraction of features and classifying. During the extraction process of the application the most important and special features of the image are retrieved. The image is contrasted with the data base images in the classification phase. The surface of the plant leaf is divided into smaller regions using which the LBP is obtained and the combination of them produces a single feature vector. An accurate model is constructed by this feature vector which is used to measure differences between flawed and healthy plant images.

scholarly journals A study on depression, anxiety and illness symptoms according to severity classification of liver cirrhosis patients in South Korea

2018 ◽  
Vol 29 (16) ◽  
Author(s):  
Jung Hyun Seo ◽  
Hyang Sook Ryu ◽  
Youn Young Lee ◽  
Myeong Jong Kim ◽  
Young Soon Choi
Keyword(s):  
Liver Cirrhosis ◽  
South Korea ◽  
Severity Classification

scholarly journals Severity classification of Tenosynovial Giant Cell Tumours on MR imaging

2018 ◽  
Vol 27 (3) ◽  
pp. 544-550 ◽  
Author(s):  
M.J.L. Mastboom ◽  
F.G.M. Verspoor ◽  
D.F. Hanff ◽  
M.G.J. Gademan ◽  
P.D.S. Dijkstra ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Giant Cell ◽  
Severity Classification ◽  
Giant Cell Tumours

Suction Point Selection Algorithm Based on Point Cloud for Plastic Waste Sorting*

2021 ◽  
Author(s):  
Sangwoo Um ◽  
Kyung-Soo Kim ◽  
Soohyun Kim
Keyword(s):  
Point Cloud ◽  
Plastic Waste ◽  
Selection Algorithm ◽  
Point Selection

Automated Severity Classification of AIDS Hospitalizations

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S41-S45 ◽  
Author(s):  
Frank W. Stitt ◽  
Ying Lu ◽  
Gordon M. Dickinson ◽  
Nancy G. Klimas
Keyword(s):  
Hiv Risk ◽  
Severity Of Illness ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Severity Classification ◽  
Disease Staging ◽  
Discharge Summaries

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

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