Background: Chronic invasive form of fungal rhinosinusitis (FRS) is characterized by the invasion of fungal organisms into the sinonasal mucosa in the background of diabetes mellitus and corticosteroid treatment.Although the histopathology has traditionally been used to make a proven diagnosis of invasive fungal infections, the dependence on tissue
Aplikasi kamus kebidanan berbasis Android
The development of smartphones often makes students abandon the habit of reading books.Many dictionary books the term midwifery is outstanding but it actually feels difficult and Fedoras time consuming.Manual search is one reason why reading a dictionary is the last choice compared to searching through the Google search engine.No doubt the existenc
MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems
Many-objective optimization (MaO) deals with a large number of conflicting objectives in optimization problems to acquire a reliable set of Siemens ET651HE17E 59cm 4 Burners Ceramic Hob Electronic Display Touch Control appropriate non-dominated solutions near the true Pareto front, and for the same, a unique mechanism is essential.Numerous papers h
Affirmative Policy A Necessity for Fulfilling the Political Rights of Persons with Disabilities
Persons with disabilities have political rights.The right to vote and the right to be elected in general elections.This article examines the political rights of persons with disabilities to Adapters be elected in general elections.This is important because the representation of persons with disabilities in the public sphere will voice the rights of
Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs
IntroductionMulti-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning.Deep learning has so far focused on developing auto-segmentation models based on a single MRI sequence.The purpose of this work is to develop a multi-sequence deep learning based auto-segmentation (mS-DLAS)