Results 81 to 90 of about 13,407 (239)
Cancer and nonextensive statistics [PDF]
We propose a new model of cancer growth based on nonextensive entropy. The evolution equation depends on the nonextensive parameter q. The exponential, the logistic, and the Gompertz growth laws are particular cases of the generalized model. Experimental data of different tumors have been shown to correspond to all these tumor-growth laws.
arxiv +1 more source
Background: Odontogenic tumors are a diverse group of lesions with a variety of clinical behavior and histopathologic subtypes, from hamartomatous and benign to malignant.
Haider H Al-Qazzaz +2 more
doaj +1 more source
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation [PDF]
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
Introduction: This study presents the oral and maxillofacial pathological features of several types of odontogenic tumors in children and adolescents less than 18 years of age from a Bangladeshi tertiary-level healthcare facility.
Ismat Ara Haider+5 more
doaj +1 more source
Confidence intervals for tree-structured varying coefficients [PDF]
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
Tumors of the jaw, odontogenic tissues and maxillary antrum (excluding burkitt lymphoma) in Uganda Africans [PDF]
O G Dodge
openalex +1 more source
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images [PDF]
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
Ultrastructural study of amyloid material in the calcifying epithelial odontogenic tumor [PDF]
David L. Page+2 more
openalex +1 more source
Estimating the age of renal tumors [PDF]
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
The aim of this study was to carry out a retrospective analysis of maxillofacial tumors in children and to present the long-term follow-up results. Our study was performed with a retrospective analysis of 90 patients under the age of 15 years with
Rezzan Tanrikulu+2 more
doaj