No abstract

FNHs with different tumor sizes may manifest various dynamic CT findings that are more or less related to the different pathological findings.

Pure word deafness (PWD) is a rare disorder characterized by impaired verbal comprehension sparing discrimination and recognition of nonverbal sounds with relatively normal spontaneous speech, writing, and reading comprehension. Etiologies of this syndrome are varied, and there are rare reports about brain tumor with PWD in children. We report a case of medulloblastoma presented with PWD in a 7-year-old girl. She visited our outpatient clinic because of English dictation performance deterioration. PWD was diagnosed by the otolaryngologist after examinations. Posterior fossa tumor and obstructive hydrocephalus were shown in the magnetic resonance imaging of the brain. The diagnosis of medulloblastoma was then made by pathology.

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The construction industry is an important industry supporting social-economic development. Detecting cracks in walls could help to maintain the conditions of buildings. A wall crack detection algorithm based on adaptive double threshold greyscale transform is proposed. The MATLAB built-in 'graythresh' function is modified in order to have a flag bit to preliminarily selection of the greyscale transformation threshold where the grey transform threshold and the binarization threshold can be automatically adjusted based on the image processing effect using a preliminaryselected threshold. The algorithm enhances the crack information and weakens the background information by multiple morphological operations of removing isolated small area pixels. The MATLAB simulation results show that the proposed algorithm has an accuracy of 96.16%, time from inputting the image to the completion of the labelling is 3-15 seconds, which depends on the complexity of the crack.