Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Syed Afroz Ahmed"'
Autor:
Panthala Veenila Mudhiraj, Manjushri Madhukar Vanje, Bachamgari Narender Reddy, Syed Afroz Ahmed, Charu Suri, Shahela Taveer, Shravan Kumar
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 11, Iss 4, Pp ZC13-ZC15 (2017)
Introduction: Histological stains are dyes that bind to various tissues. Special stains form an integral part of routine histopathology as an adjunct to Haematoxylin and Eosin (H&E), and give meaningful diagnostic information of the tissues avail
Externí odkaz:
https://doaj.org/article/1eb5800b69204094a8b1f737941dcd48
Autor:
Harika Chittamsetty, M.S. Muni Sekhar, Syed Afroz Ahmed, Charu Suri, Sridevi Palla, S. Muni Venkatesh, Shahela Tanveer
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 7, Iss 6, Pp 1219-1222 (2013)
Background: Iron is vital for all the living organisms. However, excess iron is hazardous because it produces free radical formation. Therefore, the iron absorption is carefully regulated to maintain an equilibrium between the absorption and the b
Externí odkaz:
https://doaj.org/article/295547756d804f1c85499ddc4bb95ffb
Autor:
Mohammed Umar Farooq, Mohd. Asadullah Khan, Shahid Imran, Ayesha Sameera, Arshad Qureshi, Syed Afroz Ahmed, Sujan Kumar, Mohd. Aziz Ur Rahman
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 10, Iss 10, Pp ZC20-ZC23 (2016)
Introduction: For more than seven decades orthodontist used cephalometric analysis as one of the main diagnostic tools which can be performed manually or by software. The use of computers in treatment planning is expected to avoid errors and make
Externí odkaz:
https://doaj.org/article/10da4c732f354e718189f65572399f92
Publikováno v:
Case Reports in Dentistry, Vol 2015 (2015)
Myofibromas are benign uncommon fibroblastic tumors of the soft tissue, bone, or internal organs affecting all ages. These lesions histopathologically may mimic many other soft tissue tumors of the oral cavity such as spindle cell tumors of neurogeni
Externí odkaz:
https://doaj.org/article/457ed3f021fb4927bf9255aeae31ea3e
Publikováno v:
Journal of Oral Medicine, Oral Surgery, Oral Pathology and Oral Radiology. 4:44-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b88034acf13ec648055443c5f1ffc7f
https://doi.org/10.18231/2395-6194.2018.0009
https://doi.org/10.18231/2395-6194.2018.0009
Publikováno v:
International Journal of Pharmaceutical Investigation. 9:85-88
Background: Though various biological markers are available for improving the diagnostic accuracy early detection of disease progression remains a challenging task mainly due to lack of adequate early prognostic marker. Aim and Objectives: To evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74d4a8f3b8ca6a4504208f94a787c0bc
https://doi.org/10.5530/ijpi.2019.2.17
https://doi.org/10.5530/ijpi.2019.2.17
Publikováno v:
Journal of Physics: Conference Series. 1854:012032
This paper studies the performance of classical and quantum machine learning models for sentiment analysis task. Here, popular machine learning algorithms viz support vector machine (SVM), gradient boosting (GB) and random forest (RF) are compared wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac8646c986647804e42b037b57b5b94d
https://doi.org/10.1088/1742-6596/1854/1/012032
https://doi.org/10.1088/1742-6596/1854/1/012032
Publikováno v:
Journal of Physics: Conference Series. 1817:012015
In this paper, we have studied the performance and role of local optimizers in quantum variational circuits. We studied the performance of the two most popular optimizers and compared their results with some popular classical machine learning algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49711bf0cb8da8483898ac09f769be21
https://doi.org/10.1088/1742-6596/1817/1/012015
https://doi.org/10.1088/1742-6596/1817/1/012015
Publikováno v:
Journal of Oral and Maxillofacial Pathology : JOMFP
Background: Ameloblastoma is the most frequently encountered benign, locally invasive tumor. Attempts to surgically resect the tumor often leave small islands of tumor, which later result in recurrence in 50%–90% of cases. This has raised questions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0b1d2943af9c3321ed77f4dd752b089
https://doi.org/10.4103/jomfp.jomfp_152_17
https://doi.org/10.4103/jomfp.jomfp_152_17
Publikováno v:
International Journal of Laser Dentistry. 1:41-44
1MS Munisekhar, 2K Mahendranadh Reddy, 3Syed Afroz Ahmed, 4Charu Suri, 5Esther Priyadarshini S 1Professor and Head, Department of Oral and Maxillofacial Pathology, Sri Sai College of Dental Sciences, Vikarabad, Andhra Pradesh, India 2Principal, Sri S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f34f98b616fa4ffcb654c0b567a93b4f
https://doi.org/10.5005/jp-journals-10022-1006
https://doi.org/10.5005/jp-journals-10022-1006