Bone trabecular pattern analysis in Down syndrome with the use of computed panoramic radiography

1990 ◽  
Vol 70 (3) ◽  
pp. 360-364 ◽  
Author(s):  
Isamu Kashima ◽  
Shiro Bando ◽  
Daisuke Kanishi ◽  
Kumeo Miyake ◽  
Ryo Yamane ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Pattern Analysis ◽  
Panoramic Radiography ◽  
Trabecular Pattern

Performance of dental pattern analysis system with treatment chronology on panoramic radiography

2019 ◽  
Vol 299 ◽  
pp. 229-234
Author(s):  
Chena Lee ◽  
Sang-Hyun Lim ◽  
Kyung-Hoe Huh ◽  
Sang-Sun Han ◽  
Jo-Eun Kim ◽  
...  
Keyword(s):  
Pattern Analysis ◽  
Panoramic Radiography ◽  
Dental Pattern ◽  
Analysis System

Trabecular Pattern Analysis Using Fractal Dimension

1993 ◽  
Vol 32 (Part 1, No. 4) ◽  
pp. 1867-1871 ◽  
Author(s):  
Takayuki Ishida ◽  
Kazuya Yamashita ◽  
Atsushi Takigawa ◽  
Komyo Kariya ◽  
Hiroshi Itoh
Keyword(s):  
Fractal Dimension ◽  
Pattern Analysis ◽  
Trabecular Pattern

scholarly journals 142. Trabecular Pattern Analysis by using Fractal Dimension

1992 ◽  
Vol 48 (8) ◽  
pp. 1226
Author(s):  
Takayuki Ishida ◽  
Kazuya Yamashita ◽  
Atsushi Takigawa
Keyword(s):  
Fractal Dimension ◽  
Pattern Analysis ◽  
Trabecular Pattern

Bone trabecular pattern analysis in Down's syndrome with the use of computed panoramic tomography with a laser scan system

1988 ◽  
Vol 65 (3) ◽  
pp. 366-370 ◽  
Author(s):  
Isamu Kashima ◽  
Masanori Kanno ◽  
Toshiki Oguro ◽  
Tomomitu Higashi ◽  
Nobuaki Sakai ◽  
...  
Keyword(s):  
Pattern Analysis ◽  
Down's Syndrome ◽  
Down’S Syndrome ◽  
Trabecular Pattern

Cognitive Development and Down Syndrome: Age-Related Change on the Stanford-Binet Test (Fourth Edition)

2011 ◽  
Vol 116 (3) ◽  
pp. 181-204 ◽  
Author(s):  
Donna Couzens ◽  
Monica Cuskelly ◽  
Michele Haynes
Keyword(s):  
Down Syndrome ◽  
Cognitive Development ◽  
Pattern Analysis ◽  
Growth Models ◽  
Turning Points ◽  
Fourth Edition ◽  
Cross Sectional ◽  
Intelligence Scale ◽  
Age Related

Abstract Growth models for subtests of the Stanford-Binet Intelligence Scale, 4th edition (R. L. Thorndike, E. P. Hagen, & J. M. Sattler, 1986a, 1986b) were developed for individuals with Down syndrome. Models were based on the assessments of 208 individuals who participated in longitudinal and cross-sectional research between 1987 and 2004. Variation in performance among individuals was large and significant across all subtests except Memory for Sentences. Scores on the Memory for Sentences subtest remained low between ages 4 to 30 years. Greatest variation was found on the Pattern Analysis subtest, where scores continued to rise into adulthood. Turning points for scores on the Vocabulary and Comprehension subtests appeared premature relative to normative patterns of development. The authors discuss development at the subdomain level and analyze both individual and group trajectories.

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

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