Results 81 to 90 of about 14,450 (251)

ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation [PDF]

open access: yesarXiv, 2020
Breast tumor segmentation is a critical task in computer-aided diagnosis (CAD) systems for breast cancer detection because accurate tumor size, shape and location are important for further tumor quantification and classification. However, segmenting small tumors in ultrasound images is challenging, due to the speckle noise, varying tumor shapes and ...
arxiv  

Surgical management of maxillary adenomatoid odontogenic tumor in paediatric patient: A clinical report

open access: yesJournal of the Scientific Society, 2013
Adenomatoid odontogenic tumor (AOT) is a rare odontogenic tumour that is frequently misdiagnosed as odontogenic cyst. It is a tumor lined by odontogenic epithelium in a variety of histoarchitectural patterns, which are embedded in a mature connective ...
Suresh Yadav   +3 more
doaj   +1 more source

Maxillary odontogenic myxoma: A case report

open access: yesJournal of Craniomaxillofacial Research, 2022
Odontogenic myxoma is a benign mesenchymal tumor that appears to be associated with odontogenic ectomesenchyme of the growing teeth. This tumor, which often occurs in the second and third decades of life, is extremely rare and often asymptomatic in ...
Mohsen Barzegar   +3 more
doaj  

An aggressive presentation of adenomatoid odontogenic tumor associated with calcifying epithelial odontogenic tumor: A hybrid variant

open access: yesJournal of Oral Research and Review, 2015
The adenomatoid odontogenic tumor (AOT) was formerly considered to be a variant of the ameloblastoma and was designated as adenoameloblastoma. It represents 3-7% of all odontogenic tumor and over 750 cases have been reported in the literature.
Shubhangi Mhaske   +4 more
doaj   +1 more source

Confidence intervals for tree-structured varying coefficients [PDF]

open access: yesarXiv
The tree-structured varying coefficient model (TSVC) is a flexible regression approach that allows the effects of covariates to vary with the values of the effect modifiers. Relevant effect modifiers are identified inherently using recursive partitioning techniques.
arxiv  

Adenomatoid Odontogenic Tumor of the Mandible - A Case Report and Review of Literature

open access: yesJournal of Indian Academy of Oral Medicine and Radiology, 2007
Adenomatoid odontogenic tumor (AOT) is a relatively uncommon odontogenic neoplasm, first described by Steensland in 1905. Adenomatoid odontogenic tumor accounts for about 3-7 % of all odontogenic tumors.
V Asha   +3 more
doaj  

Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images [PDF]

open access: yesarXiv
Brain tumors are among the deadliest diseases in the world. Magnetic Resonance Imaging (MRI) is one of the most effective ways to detect brain tumors. Accurate detection of brain tumors based on MRI scans is critical, as it can potentially save many lives and facilitate better decision-making at the early stages of the disease.
arxiv  

Estimating the age of renal tumors [PDF]

open access: yesarXiv, 2012
We present a Bayesian method for estimating the age of a renal tumor given its size. We use a model of tumor growth based on published data from observations of untreated tumors. We find, for example, that the median age of a 5 cm tumor is 20 years, with interquartile range 16-23 and 90% confidence interval 11-30 years.
arxiv  

Ultrastructural study of amyloid material in the calcifying epithelial odontogenic tumor [PDF]

open access: bronze, 1975
David L. Page   +2 more
openalex   +1 more source

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