Results 31 to 40 of about 13,407 (239)
Journal of Dentistry, 2020 Calcifying odontogenic cyst is an uncommon odontogenic lesion that represents less than 2% of all odontogenic cysts and tumors. It usually occurs in incisor and canine areas during the second to fourth decades of life.
Nazanin Mahdavi +3 more
doaj +1 more source
Prevalence of odontogenic cysts and tumors among UAE population
Journal of Orofacial Sciences, 2013 Background: Odontogenic cysts and tumors are lesions that tend to arise from the tooth apparatus or its remnants. Odontogenic cysts and tumors constitute an important aspect of oral maxillofacial pathology as they can be diagnosed in general dental ...
Natheer Hashim Al-Rawi +4 more
doaj +1 more source
مجله دانشکده دندانپزشکی اصفهان, 2022 Odontogenic cysts and tumors are lesions found in the upper and lower jaw and oral soft tissue. The understanding and correct diagnosis of odontogenic tumors is essential because they can be invasive or recurrent in nature and ...
Seyed Mohammad Razavi +4 more
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SRM Journal of Research in Dental Sciences, 2020 Introduction: Odontogenic cysts and tumors are the most common pathologies affecting the jaws. Radiographic evaluation of cysts and tumors is an important aspect of diagnosis and surgical treatment planning.
Durgadevi Boopathi +3 more
doaj +1 more source
In Vitro Studies on Odontogenic Tumors [PDF]
, 2012 Ameloblastomas are uncommon benign neoplasms of the jaws. They originate from dental epithelial cells, but they are not capable of mineralizing or forming enamel. The study of these tumors is limited to live tissue collected from patients during scheduled surgery.
Javier Catón +2 more
openalex +5 more sources
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis [PDF]
arXiv, 2023 Early detection and localization of pancreatic cancer can increase the 5-year survival rate for patients from 8.5% to 20%. Artificial intelligence (AI) can potentially assist radiologists in detecting pancreatic tumors at an early stage. Training AI models require a vast number of annotated examples, but the availability of CT scans obtaining early ...
arxiv
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model [PDF]
arXiv, 2021 In the clinical diagnosis and treatment of brain tumors, manual image reading consumes a lot of energy and time. In recent years, the automatic tumor classification technology based on deep learning has entered people's field of vision. Brain tumors can be divided into primary and secondary intracranial tumors according to their source. However, to our
arxiv
Synthetic Tumors Make AI Segment Tumors Better [PDF]
arXiv, 2022 We develop a novel strategy to generate synthetic tumors. Unlike existing works, the tumors generated by our strategy have two intriguing advantages: (1) realistic in shape and texture, which even medical professionals can confuse with real tumors; (2) effective for AI model training, which can perform liver tumor segmentation similarly to a model ...
arxiv
Label-Free Liver Tumor Segmentation [PDF]
arXiv, 2023 We demonstrate that AI models can accurately segment liver tumors without the need for manual annotation by using synthetic tumors in CT scans. Our synthetic tumors have two intriguing advantages: (I) realistic in shape and texture, which even medical professionals can confuse with real tumors; (II) effective for training AI models, which can perform ...
arxiv
Neoplastic potential of odontogenic cysts
Contemporary Clinical Dentistry, 2011 Odontogenic cysts and tumors are distinct entities and quite a common occurrence in the jaw bones. The lining of odontogenic cysts shows a potential for neoplastic transformation to non odontogenic malignancies like squamous cell carcinoma and ...
Zama Moosvi +2 more
doaj +1 more source