Zobrazeno 1 - 10
of 85
pro vyhledávání: '"S Padmashree"'
Publikováno v:
Contemporary Clinical Dentistry, Vol 11, Iss 1, Pp 20-27 (2020)
Background: The clinical feature and radiographic appearance of orthokeratinized odontogenic keratocyst (OKC) are not characteristic, which may lead to the misdiagnosis. The radiographic appearance of OKC may range from a small unilocular radiolucenc
Externí odkaz:
https://doaj.org/article/6965f15d9efa41399a504b3dcd81e632
Publikováno v:
Indian Journal of Dental Research, Vol 31, Iss 1, Pp 164-166 (2020)
Arteriovenous malformation (AVM) of the parotid gland is an extremely rare condition with very few cases reported in the literature. Majority of the swellings in the parotid region are usually due to sialadenitis, tumour etc., therefore making the in
Externí odkaz:
https://doaj.org/article/de92b42bf7f24d14abfc33bf785c4448
Publikováno v:
Contemporary Clinical Dentistry, Vol 9, Iss 3, Pp 478-483 (2018)
Gorlin-Goltz syndrome (GGS) is an autosomal dominant disorder with a high degree of penetrance and variable expressivity. It is a rare phakomatosis characterized by multiple odontogenic keratocysts (OKCs), bifid ribs, and other abnormalities. The inc
Externí odkaz:
https://doaj.org/article/eb3041aa679f40b18af84c43e7d6be2b
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 31, Iss 2, Pp 181-183 (2019)
The calcifying odontogenic cyst was first described by Gorlin et al. who were impressed by the presence of numerous ghost cells. Currently, this particular entity is known as calcifying cystic odontogenic tumor (CCOT). Since its recognition, the lesi
Externí odkaz:
https://doaj.org/article/0f5ca3b4a03d4806afc459e99e676fd5
Publikováno v:
Indian Journal of Dental Research, Vol 28, Iss 5, Pp 545-548 (2017)
Context (Background): Lips prints are unique and are a tool for personal identification. Aims: Indian population can be divided into different ethno-racial groups. In this study, we aimed at finding the most and the least prevalent lip print patterns
Externí odkaz:
https://doaj.org/article/521d620546bf43d9a55583bb9e887170
Publikováno v:
Contemporary Clinical Dentistry, Vol 5, Iss 3, Pp 312-317 (2014)
Objectives: To study the correlation between blood glucose levels and salivary glucose levels in type 2 diabetic patients, to study the relationship between salivary glucose levels and oral candidal carriage in type 2 diabetic patients and to determi
Externí odkaz:
https://doaj.org/article/447084a2c0b045a7b9720d13c7a07892
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 15, Iss 4, Pp 193-202 (2003)
An immunological investigation of denal caries was carried out to detect antibodies in human serum and saliva against streptococcus mutans, in relation with the formation of caries. The level of serum and salivary IgG, IgA & IgM antibodies was determ
Externí odkaz:
https://doaj.org/article/28eed057387e47c2bf274e55d3abdd85
Autor:
S Padmashree, Nillofer R Halim
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 19, Iss 2, Pp 374-376 (2007)
Sexually transmitted diseases are posing a growing public health problem on a global and national scale. Clinicians are increasingly likely to come across associated oral manifestations. We present a case of oral mucosal lesion caused by syphilis. Th
Externí odkaz:
https://doaj.org/article/a624352fa96148f09e56a3317c4734ed
Publikováno v:
International Journal of Modeling, Simulation, and Scientific Computing.
Cervical cancer (CC) has become one of the serious and deadly diseases in women around the world. Predicting a CC is at risk because testing is not possible at the early stage. Doctors predict the types of cancer by collecting cervical cells and by i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48f4fb0a40f7ff87f4c372f77e3f4072
https://doi.org/10.1142/s1793962324500089
https://doi.org/10.1142/s1793962324500089
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:3501-3506
Irrelevant feature in heart disease dataset affects the performance of binary classification model. Consequently, eliminating irrelevant and redundant feature (s) from training set with feature selection algorithm significantly improves the performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232c42abcc5c6854ef2d7c5da4182304
https://doi.org/10.11591/eei.v10i6.3001
https://doi.org/10.11591/eei.v10i6.3001