Macroscopic classification of superficial neoplastic lesions of the oral mucosa: A preliminary study

2008 ◽  
Vol 34 (1) ◽  
pp. 100-106 ◽  
Author(s):  
S. Fedele ◽  
L. Lo Russo ◽  
C. Mignogna ◽  
S. Staibano ◽  
S.R. Porter ◽  
...  
Keyword(s):  
Oral Mucosa ◽  
Macroscopic Classification ◽  
Neoplastic Lesions ◽  
Preliminary Study

Demonstration of Placental Vascular Anatomy in Monochorionic Twin Gestations

2002 ◽  
Vol 5 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Monique E. De Paepe ◽  
Sarah Burke ◽  
Francois I. Luks ◽  
Halit Pinar ◽  
Don B. Singer
Keyword(s):  
Vascular Anatomy ◽  
Treatment Modalities ◽  
Laser Coagulation ◽  
Injection Technique ◽  
Invasive Treatment ◽  
Monochorionic Twin ◽  
Macroscopic Classification ◽  
Fetoscopic Laser Coagulation

Invasive treatment modalities for severe chronic twin-to-twin transfusion syndrome (TTTS), such as fetoscopic laser coagulation of communicating vessels, have revived the need for detailed studies of placental angioar-chitecture. We describe a practical placental vascular injection technique using alcohol-resistant tissue-staining dyes. Injection of color-coded gelatin-dye mixtures effectively delineated the intertwin vasculature, and allowed unequivocal macroscopic classification of vascular communications as artery-to-artery, vein-to-vein, or deep artery–to-vein anastomoses. The existence of deep artery–to-vein anastomoses was further confirmed by light microscopic demonstration of venous dye of one twin and arterial dye of the opposite twin within the same stem villus. Furthermore, the injection technique allowed determination of the caliber of the anastomoses, the direction of the artery-to-vein anastomoses, and the relative vascular territory of each twin. Documenting the vascular communications in monochorionic twin placentas with and without TTTS may enhance our understanding of the pathogenesis of chronic TTTS. Correlating the anastomotic patterns and location of the laser coagulation scars with post-ablation outcome will aid in the design of rational therapeutic methods for this often lethal condition.

Macroscopic Classification of Early Barrett's Neoplasia in 416 Lesions: Prospective Data From the Wiesbaden Barrett's Cancer Register

2005 ◽  
Vol 61 (5) ◽  
pp. AB140
Author(s):  
Oliver Pech ◽  
Liebwin Gossner ◽  
Josephus Huijsmans ◽  
Andrea May ◽  
Christian Ell
Keyword(s):  
Prospective Data ◽  
Cancer Register ◽  
Barrett’S Cancer ◽  
Macroscopic Classification

Development of Composite Cultured Oral Mucosa Utilizing Collagen Sponge Matrix and Contracted Collagen Gel: A Preliminary Study for Clinical Applications

2001 ◽  
Vol 7 (4) ◽  
pp. 415-427 ◽  
Author(s):  
Takashi Moriyama ◽  
Izumi Asahina ◽  
Masatoshi Ishii ◽  
Mitsuo Oda ◽  
Yoshimasa Ishii ◽  
...  
Keyword(s):  
Oral Mucosa ◽  
Collagen Gel ◽  
Clinical Applications ◽  
Collagen Sponge ◽  
Preliminary Study ◽  
Sponge Matrix

Application of the LDA Model to Semantic Annotation of Web-based English Educational Resources

2021 ◽  
Author(s):  
Wei Du ◽  
Haiyan Zhu ◽  
Teeraporn Saeheaw
Keyword(s):  
Topic Modeling ◽  
Basic Education ◽  
Semantic Annotation ◽  
Experimental Results ◽  
Educational Resources ◽  
Metadata Standard ◽  
Web Based ◽  
Teaching Content ◽  
Macroscopic Classification

Based on the LDA model, this paper builds a three-layer semantic model of Web English educational resources “document-topic-keyword”, models the semantic topics of resource documents, and obtains the semantic topics and keywords of document resources as the semantic labels of resources. The experimental results show that document LDA topic modeling is beneficial to the macroscopic classification of Web English educational resources. The experimental results show that LDA topic modeling of documents is useful for macroscopic cataloging of Web English educational resources, highlighting teaching priorities, difficulties, and interrelationships, while LDA modeling of teaching topics with the same teaching content expands the metadata generation method of resource description based on the basic education metadata standard and provides more information about the inherent characteristics of resources. The semantic information can be used to mine the semantic thematic features and detailed differences inherent in the resources, and the final performance analysis verifies the parallel computing advantages of the LDA model in a big data environment.

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