Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm.

Early diagnosis of malignant skin cancer from images is a significant part of the cancer treatment process. One of the principal purposes of this research is to propose a pipeline methodology for an optimum computer-aided diagnosis of skin cancers. The method contains four main stages. The first stage is to perform a preprocessing based on noise reduction and contrast enhancement. The second stage is to segment the region of interest (ROI). This study uses kernel fuzzy C-means for ROI segmentation. Then, some features from the ROI are extracted, and then, a feature selection is used for selecting the best ones. The selected features are then injected into a support vector machine (SVM) for final identification. One important part of the contribution in this study is to propose a developed version of a new metaheuristic, named neural network optimization algorithm, to optimize both parts of feature selection and SVM classifier. Comparison results of the method with 5 state-of-the-art methods showed the approach's higher superiority toward the others.

Application of Brain -computer Interface Technology in Medical Field / 医学信息学杂志

The paper introduces the structure and working principle of brain -computer interface system, elaborates the application of the technology in medical field, including automatic detection and classification of epilepsy, rehabilitation training and anesthetic depth monitoring, pointing out the challenges brain -computer interface technology faces.

Ultrasonic diagnosis of uterine arteriovenous fistula / 中国介入影像与治疗学

ObjectiveTo investigate the value of ultrasound in diagnosis and differential diagnosis of uterine arteriovenous fistula (UAF).MethodsUltrasound results of 12 patients with UAF were analyzed retrospectively,and were compared with uterine artery angiography.ResultsUAF showed uneven echo signals of uterine muscle wall near endometrium or cesarean section incision and irregular echo-free zone on ultrasonographies,the typical case of which displayed “honeycomblike” change.Color Doppler ultrasound showed rich blood flow in local area and lake-like or multicolored mosaic change.Spectral Doppler waveform shape was characterized as high-speed low resistance.The ultrasonographic results of UAF were consistent with those of uterine artery angiography.ConclusionUltrasonography combined with uterine artery angiography contributes to the diagnosis of UAF.

Ultrasonographic diagnosis of duodenal bulb ulcer combined with perforation / 中国介入影像与治疗学

Objective To observe ultrasonographic features and the value of ultrasonography in diagnosing duodenal bulb ulcer combined with perforation.Methods The ultrasonographic features of duodenal bulb ulcer combined with perforation were studied retrospectively in 25 patients.The detection rate of duodenal bulb ulcer,peritoneal cavity free air,ascites and abdominal lumps were recorded and compared with those of X-ray examination.Results Color Doppler ultrasound before operation found 21 patients with duodenal bulb ulcer combined with perforation,18 with peritoneal cavity free air,25 with ascites and 14 with abdominal lumps.X-ray examination showed peritoneal cavity free air in 21 patients,but no ascites and abdominal lumps were found,let alone the direct features of duodenal bulb ulcer.Conclusion With regard tO duodenal bulb ulcer combined with perforation,color Doppler ultrasound can not only display peritoneal cavity free air as well as X-ray,but also show ascites and abdominal lumps,even duodenal bulb ulcer itself.Color Doppler ultrasound can make up the deficiency of X-ray examination,and is a valuable method in diagnosing duodenal bulb ulcer combined with perforation.