Zobrazeno 1 - 10
of 3 741
pro vyhledávání: '"Sukesh A"'
Publikováno v:
Case Reports in Orthopedic Research, Vol 4, Iss 1, Pp 39-42 (2021)
Hyperostosis of the ischiopubic synchondrosis, van Neck disease, is a rare skeletal abnormality in children. Asymmetric and delayed closure of this cartilaginous joint is considered as a normal phenomenon. The symptomatic presentation of this patholo
Externí odkaz:
https://doaj.org/article/b5b9880759d841f5a810a0a0f4d741d8
Autor:
George Jacob, M.B.B.S., M.S., Sukesh A.N, M.B.B.S., D.Ortho., Gautham Kumar, M.B.B.S., Jacob Varghese, M.B.B.S., M.S., M.Ch.
Publikováno v:
Arthroscopy Techniques, Vol 9, Iss 10, Pp e1511-e1517 (2020)
Medial collateral ligament (MCL) injuries are commonly encountered alongside anterior cruciate ligament injuries. Treatment modalities have ranged from conservative management to surgical repair, augmentation, and reconstruction. Various reports have
Externí odkaz:
https://doaj.org/article/4c8195c14d9740c4a3579d4f40208ca0
Autor:
Murugesan, Balamurali, Vasudeva, Sukesh Adiga, Liu, Bingyuan, Lombaert, Hervé, Ayed, Ismail Ben, Dolz, Jose
Ensuring reliable confidence scores from deep neural networks is of paramount significance in critical decision-making systems, particularly in real-world domains such as healthcare. Recent literature on calibrating deep segmentation networks has res
Externí odkaz:
http://arxiv.org/abs/2401.14487
Publikováno v:
Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham
Binarization of document images is an important pre-processing step in the field of document analysis. Traditional image binarization techniques usually rely on histograms or local statistics to identify a valid threshold to differentiate between dif
Externí odkaz:
http://arxiv.org/abs/2401.11831
Semi-supervised learning relaxes the need of large pixel-wise labeled datasets for image segmentation by leveraging unlabeled data. A prominent way to exploit unlabeled data is to regularize model predictions. Since the predictions of unlabeled data
Externí odkaz:
http://arxiv.org/abs/2310.16099
Publikováno v:
Journal of Clinical and Scientific Research, Vol 13, Iss 3, Pp 194-202 (2024)
Background: With rapid increase in electronic waste (e-waste) burden in countries like India, it is essential that undergraduate medical students should possess adequate knowledge on the hazards of e-waste and its disposal as future physicians. Metho
Externí odkaz:
https://doaj.org/article/58a881efb93048babd53d16114badb20
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 11, Pp 2031-2036 (2024)
AIM: To report incidence, indications, and visual outcomes of intraocular lens (IOL) exchange/explantation surgery. METHODS: Retrospective analysis of 60 eyes requiring IOL exchange/explantation surgery between 1st January 2017 and 31st December 2022
Externí odkaz:
https://doaj.org/article/d017adc0e75648b896a2ef5982aeca17
Autor:
Vivi M. Srivastava, Sukesh Chandran Nair, Melvin Joy, Marie-Therese Manipadam, Uday P. Kulkarni, Anup J. Devasia, N.A Fouzia, Anu Korula, Kavitha M. Lakshmi, L. Jeyaseelan, Aby Abraham, Alok Srivastava
Publikováno v:
Molecular Cytogenetics, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Background The karyotype is a major determinant of prognosis in myelodysplastic syndrome (MDS). Details of the cytogenetic profile of MDS in South Asia are limited because cytogenetic services are not widely available. Methods We performed a
Externí odkaz:
https://doaj.org/article/8c59fcca04984df3b38ee6051ccd4065
This paper presents a machine learning-based approach for predicting solar power generation with high accuracy using a 99% AUC (Area Under the Curve) metric. The approach includes data collection, pre-processing, feature selection, model selection, t
Externí odkaz:
http://arxiv.org/abs/2303.07875
Autor:
Murugesan, Balamurali, Adiga V, Sukesh, Liu, Bingyuan, Lombaert, Hervé, Ayed, Ismail Ben, Dolz, Jose
Ensuring reliable confidence scores from deep networks is of pivotal importance in critical decision-making systems, notably in the medical domain. While recent literature on calibrating deep segmentation networks has led to significant progress, the
Externí odkaz:
http://arxiv.org/abs/2303.06268