Results 51 to 60 of about 5,801 (233)
Introduction: The adenomatoid odontogenic tumor is a relatively uncommon odontogenic neoplasm representing about 4.7% of all odontogenic tumors. Objective: The aim of this study was to determine the demographic and clinical profile of the adenomatoid ...
Bogahawatte Samarakoon Mudiyanselage Samadarani Siriwardena+5 more
doaj
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model [PDF]
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]
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
Molecular Profiling of Odontogenic Tumors - Pilot Study
Background/Aim: In the pathogenesis of odontogenic tumors which arise from the rests of the dental apparatus in the jaw, several molecular pathways have been shown to play critical roles such as genetic alterations in the hedgehog, BRAF/Ras/MAPK ...
Gültekin Sibel Elif+4 more
doaj +1 more source
Label-Free Liver Tumor Segmentation [PDF]
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
Adenoid ameloblastoma has been recently defined as a distinct odontogenic tumour type by the World Health Organisation. However, its essential and desirable diagnostic criteria are relatively non‐specific and there are overlapping morphological and molecular features with other odontogenic tumour types.
Edward W Odell+2 more
wiley +1 more source
Elastic free energy drives the shape of prevascular solid tumors [PDF]
It is well established that the mechanical environment influences cell functions in health and disease. Here, we address how the mechanical environment influences tumor growth, in particular, the shape of solid tumors. In an in vitro tumor model, which isolates mechanical interactions between tumor cells and a hydrogel, we find that tumors grow as ...
arxiv +1 more source
Tumor growth with nutrients: stability of the tumor patches [PDF]
In this paper, we study a tumor growth model with nutrients. The contact inhibition for the tumor cells, presented in the model, results in the evolution of a congested tumor patch. We study the regularity of the tumor patch as the nutrients' diffusion strength $D$ diminishes.
arxiv
Benign lesions of the mediastinum
Thymic hyperplasia with lymphoepithelial sialadenitis (LESA)‐like features as an example of a thymic tumorous lesion showing an association with non‐myasthenic autoimmune diseases and lymphomas. Mediastinal tumours represent a heterogeneous group of entities derived from the manifold structures located in or adjacent to the mediastinum.
Tiemo Sven Gerber, Stefan Porubsky
wiley +1 more source
The adenomatoid odontogenic tumor (AOT) is a relatively uncommon lesion which mainly affects females in their second decade of life, exhibiting predilection for the anterior region of the maxilla.
Anshita Agarwal, K. Y. Giri, Sarwar Alam
doaj +1 more source