Sentence examples for in classification of brain from inspiring English sources

Ramírez et al. [ 10] proposed to use neural network method in classification of brain images of Alzheimer's disease.

A computerised method that is capable of providing objective information about an image may assist radiologists in the classification of brain tumours.

These extracted statistical features were fed into probabilistic neural network (PNN) classifier as an input for training and testing the performance of classifier in the classification of brain tumor images into normal and abnormal.

However, since APA was not introduced in the WHO classification of brain tumours until 2000, it cannot play the same role in previous paediatric series as published by Bertolone (patients enrolled between 1985 and 1990) (Bertolone et al, 2003).

Likewise, although midline shift or cisterns status is important in the Marshall Classification of brain swelling, other causes of midline shift, such as mass lesion, are disregarded.

It would simply lead to the "gerrymandering" of definitions based on outdated and invalid knowledge.Now the WHO has taken the initiative with its Intervention Guide, in which the organisation's own classification of brain disorders itself in the process of being revised to make it simpler for non-specialists to use has been distilled into 100 pages of easy-to-follow flowcharts.

In the 2007 WHO classification of brain tumours there are three categories: (a) clinico-pathological entities; (b) variants of entities; and (c) histological patterns.

Accurate classification of brain tumor grading is very important in the diagnosis because it defines prognosis and treatment decision for the patient.

For the last decades, the World Health Organization (WHO) histomorphologic classification of brain tumors together with clinical prognostic factors has guided clinicians in treating patients with high-grade gliomas.

The paper entitled "Application of artificial immune system approach in MRI classification" by Chuin-Mu Wang et al. employs clonal selection algorithm (CSA) of artificial immune systems for classification of brain MR images.

The WHO classification of brain tumours describes 15 subtypes of meningioma.