Results 51 to 60 of about 3,936 (124)
Ameloblastomatous calcifying odontogenic cyst; a case report
مجله دانشکده دندانپزشکی اصفهان, 2009 Introduction: Calcifying odontogenic cyst (COC) is an uncommon developmental odontogenic cyst first described by Gorlin in 1962. It is considered as extremely rare and accounts for only 1% of jaw cysts reported.
M Seyed-majidi, K Nosrati, S Haghanifar
doaj
CD56 Expression in Odontogenic Cysts and Tumors
Journal of Dental Research, Dental Clinics, Dental Prospects, 2014 Background and aims. Odontogenic cysts and tumors have a wide spectrum of clinical characteristics that lead to the different management strategies. Since definite diagnosis is difficult in some cases, it has been suggested that CD56 may be a candidate
Zohreh Jaafari-Ashkavandi +2 more
doaj +1 more source
Segmentation of retinal cysts from Optical Coherence Tomography volumes via selective enhancement [PDF]
arXiv, 2017 Automated and accurate segmentation of cystoid structures in Optical Coherence Tomography (OCT) is of interest in the early detection of retinal diseases. It is, however, a challenging task. We propose a novel method for localizing cysts in 3D OCT volumes.
arxiv
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses [PDF]
arXiv, 2023 The automatic segmentation of kidney, kidney tumor and kidney cyst on Computed Tomography (CT) scans is a challenging task due to the indistinct lesion boundaries and fuzzy texture. Considering the large range and unbalanced distribution of CT scans' thickness, 2.5D ResUnet are adopted to build an efficient coarse-to-fine semantic segmentation ...
arxiv
A review of odontogenic cysts of the oral cavity
مجله دانشکده دندانپزشکی اصفهان, 2012 Introduction: Knowledge about significant clinical, radiographic and histopathological features of odontogenic cysts and their differential diagnosis with each other and other odontogenic lesions of the oral cavity and also their treatment plan and ...
Parviz Deihimy +3 more
doaj
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks [PDF]
arXiv, 2018 The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for early differential diagnosis of pancreatic cysts, which are identified in up to 16% of normal subjects, and some of which may develop into PDAC. Previous computer-aided developments have achieved certain accuracy for classification on segmented cystic lesions in CT.
arxiv
Immunohistochemical evaluation of myofibroblast density in odontogenic cysts and tumors
Journal of Dental Research, Dental Clinics, Dental Prospects, 2016 Background. The aim of this study was to investigate myofibroblast (MF) density in a broad spectrum of odontogenic cysts and tumors and the relation between the density of MFs and the clinical behavior of these lesions. Methods.
Maryam Kouhsoltani +2 more
doaj +1 more source
Keratin metaplasia in the epithelial lining of odontogenic cysts
Journal of Pharmacy and Bioallied Sciences, 2014 Objective: To find the prevalence of keratin metaplasia and its relation with clinico-pathological profile of the odontogenic cyst. Materials and Methods: Odontogenic cysts were studied histologically with special stains to identify the presence of ...
Thangadurai Maheswaran +4 more
doaj +1 more source
Domain knowledge assisted cyst segmentation in OCT retinal images [PDF]
arXiv, 2016 3D imaging modalities are becoming increasingly popular and relevant in retinal imaging owing to their effectiveness in highlighting structures in sub-retinal layers. OCT is one such modality which has great importance in the context of analysis of cystoid structures in subretinal layers.
arxiv
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans [PDF]
arXiv, 2017 Automatic segmentation of an organ and its cystic region is a prerequisite of computer-aided diagnosis. In this paper, we focus on pancreatic cyst segmentation in abdominal CT scan. This task is important and very useful in clinical practice yet challenging due to the low contrast in boundary, the variability in location, shape and the different stages
arxiv