Results 101 to 110 of about 603,133 (214)
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models [PDF]
arXivVision anomaly detection, particularly in unsupervised settings, often struggles to distinguish between normal samples and anomalies due to the wide variability in anomalies. Recently, an increasing number of studies have focused on generating anomalies to help detectors learn more effective boundaries between normal samples and anomalies.
arxiv
Medisur, 2005 Anorectal malformations are one of big causes of de intestinal obstruction in newborns. They constitute around 25% of digestive malformations. Have a frequency of 1 in 4000 born alive.
Salvador G. Carrillo Soriano +6 more
doaj +2 more sources
Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection [PDF]
arXivWe introduce Dynamic Distinction Learning (DDL) for Video Anomaly Detection, a novel video anomaly detection methodology that combines pseudo-anomalies, dynamic anomaly weighting, and a distinction loss function to improve detection accuracy. By training on pseudo-anomalies, our approach adapts to the variability of normal and anomalous behaviors ...
arxiv
Surgical treatment of anorectal anomalies in children: Experience with 224 patients [PDF]
, 2016 Marija Lukač +5 more
openalex +1 more source
Possibility for Proactive Anomaly Detection [PDF]
arXivTime-series anomaly detection, which detects errors and failures in a workflow, is one of the most important topics in real-world applications. The purpose of time-series anomaly detection is to reduce potential damages or losses. However, existing anomaly detection models detect anomalies through the error between the model output and the ground truth
arxiv
Development of a Standardized Algorithm for Management of Newly Diagnosed Anorectal Malformations
ChildrenNeonates with a new diagnosis of anorectal malformation (ARM) present a unique challenge to the clinical team. ARM is strongly associated with additional midline malformations, such as those observed in the VACTERL sequence, including vertebral, cardiac,
Shruthi Srinivas +8 more
semanticscholar +1 more source
Caudal regression syndrome (Currarino syndrome) with chromosom mutation 9
Radiology Case Reports, 2020 : Currarino syndrome is a rare set of congenital anomalies that include partial sacral agenesis, anorectal anomalies, presacral mass, urogenital malformation, and fistula between pelvic structures.
Kristina Bevanda +2 more
doaj
Frequency of congenital cardiac anomalies in patients with anorectal malformations.
, 2020 Sajjad Ali +5 more
openalex +2 more sources
Postoperative MRI for anorectal malformations
The Egyptian Journal of Radiology and Nuclear Medicine, 2018 Aim: To evaluate the role of MRI in detecting possible causes of incontinence in patients with anorectal malformations after the initial corrective surgery. Materials and methods: The study included 17 patients; age ranged from 1 to 18 years.
Yasmine T. Farghaly +4 more
doaj
Gynecologic outflow tract obstruction - Pre-operative evaluation and surgical management
Journal of Pediatric Surgery Case Reports, 2020 Background: Approximately 7% of adolescent girls have reproductive tract anomalies. Anomalies associated with complete outflow track obstruction present with primary amenorrhea and cyclic abdominal pain.
Megan T. Vu +7 more
doaj