abstract bicornuate uterus is class iv and septate uterus is class vin uterine anomaly classification. bicornuate uterus is almost always treated by laparotomy and metroplasty. but the treatment of choice for septate uterus is hysteroscopic metroplasty. bicornuate- septate uterus which is described in this paper is a new class of uterine anomaly(between class iv & v). the advantages of hysteros...

It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two classes with different features, another is the construction/selection of the observed sample of normally occurring patterns for system normality characterization. In this paper, instead of focusing on the design of spec...

annular pancreas is a rare congenital condition of the pancreas where the pancreatic tissue either partially or completely covers the duodenum by forming a ring. endoscopic ultrasound is rarely considered as the first diagnosis tool for annular pancreas. we here present a 48 years old man who was primarily provisionally diagnosed with pancreatic mass and was planned for pancreatoduodenectomy. b...

purpose: congenital corneal leukoma is rare with an incidence of 6/100000 and is one of the most important causes of amblyopia. here we report an unusual case of bilateral congenital elevated corneal leukoma. methods: we encountered a 13-day-old full term male newborn. ocular examination of both eyes revealed central elevated corneal leukomas with a narrow normal lucid interval to limbus. corne...

a retrospective study was conducted on 50 pregnancies in 41 kidney transplant recipients. 37 pregnancies were successful (74%), while in 13 cases the pregnancy was lost (7 abortions,s intra-uterine fetal deaths and one therapeutic termination). the pregnancy course was uneventful in 38 cases (76%) but in 12 there were complications, such as hypertension or slight rise in serum creatinine. pregn...

anomaly detection (ad) has recently become an important application of hyperspectral images analysis. the goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. one way to improve the performance and runtime of these algorithms is to use dimensionality reduction (dr) techniques. this paper evaluates the effect of thr...

Anomaly detection in big data is a key problem in the big data analytics domain. In this paper, the definitions of anomaly detection and big data were presented. Due to the sampling and storage burden and the inadequacy of privacy protection of anomaly detection based on uncompressed data, compressive sensing theory was introduced and used in the anomaly detection algorithm. The anomaly detecti...

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly detection to the problem of identifying anomalous patterns on a subset of attributes in the data. The anomaly always depends (is conditioned) on the value of remaining attributes. The work presented in this paper focuses...

BACKGROUND Recurrence risks for familial congenital anomalies in successive pregnancies are known, but this information for major structural anomalies is lacking. We estimated the absolute and relative risks of recurrent congenital anomaly in the second pregnancy for women with a history of a congenital anomaly in the first pregnancy, for all major anomaly groups and subtypes. METHODS Populat...