The improvement in histological diagnostic tools, including neuroendocrine markers by immunohistochemistry (IHC), has led to increased recognition of non-small cell lung cancer (NSCLC) with neuroendocrine (NE) feature. However, little is known regarding the prevalence and clinical implications of NE feature in patients with NSCLC. In this study, we performed IHC in a tissue microarray containin...

inflammatory myofibroblastic tumor (imt) in the spine or paraspinal area is extremely rare. here, we report a rare case of a 56-year-old man who had pathological-proven spinal epidural imt showing a malignancy-like infiltrative feature on mr imaging with alteration of t2 signal intensity on follow-up from slightly high to low compared with initial mr imaging. to the best of our knowledge, this ...

This paper presents grammatical evolution (GE) as an approach to select and combine features for detecting epileptic oscillations within clinical intracranial electroencephalogram (iEEG) recordings of patients with epilepsy. Clinical iEEG is used in preoperative evaluations of a patient who may have surgery to treat epileptic seizures. Literature suggests that pathological oscillations may indi...

This paper investigates the integration of clinicopathological and microRNA data for breast cancer relapse prediction. Clinical and pathological data proved to be relevant in making predictions about cancer disease outcome. The most accurate predictive models can be obtained by using clinico-pathological information together with genomic information. We analyzed the performance of various combi...

background and objective: uterus of rat with polycystic ovary (pco) may show pathological features. we provided pathological evidence for the rat uterus with no-induced pco.    materials and methods: wistar rats (weighing 200-250 g) were kept diestrous to receive l-arginine (50 mg/kg) intraperitoneally (i.p.) for 9 days/once a day. control group solely received saline (1 ml/kg, 9 days/once per ...

We propose a novel feature selection algorithm for liver tissue pathological image classification. To improve the efficiency of feature selection, the same feature values of positive and negative samples are removed in rough selection. To obtain the optimal feature subset, a new heuristic search algorithm, which is called Maximum Minimum Backward Selection (MMBS), is proposed in precise selecti...

Detection of mild laryngeal disorders using acoustic parameters of human voice is the main objective in this study. Observations of sustained phonation (audio recordings of vocalized /a/) are labeled by clinical diagnosis and rated by severity (from 0 to 3). Research is exclusively constrained to healthy (severity 0) and mildly pathological (severity 1) cases – two the most difficult classes to...

Pathological speech usually refers to speech distortion resulting from illness or other biological insults. The assessment of pathological speech plays an important role in assisting the experts, while automatic evaluation of speech intelligibility is difficult because it is usually nonstationary and mutational. In this paper, we carry out an independent innovation of feature extraction and red...