Results 41 to 50 of about 603,133 (214)
Annals of Pediatric Surgery, 2022 Background/purpose Surgical management of high-type anorectal malformations (ARM) has evolved over the years with the widespread of the laparoscopic approach over the last two decades.
Mohammad Anas AlShawa +2 more
doaj +1 more source
Anorectal malformation and Hirschsprung disease in an otherwise healthy infant
Journal of Pediatric Surgery Case Reports, 2022 Background: Hirschsprung disease and anorectal malformations are two conditions that are rarely associated with one another. Current reports of anorectal malformations with concurrent Hirschsprung disease predominantly describe children with genetic ...
Audra Rougraff +2 more
doaj
Frontiers in SurgeryIntroductionAnorectal malformations (ARM) consist of a range of anomalies that occur in approximately 3.5 in 10,000 live births. Though variable, about half of these patients present with an associated genitourinary abnormality.
Belachew Dejene Wondemagegnehu +1 more
doaj +1 more source
AGAD: Adversarial Generative Anomaly Detection [PDF]
arXiv, 2023 Anomaly detection suffered from the lack of anomalies due to the diversity of abnormalities and the difficulties of obtaining large-scale anomaly data. Semi-supervised anomaly detection methods are often used to solely leverage normal data to detect abnormalities that deviated from the learnt normality distributions.
arxiv
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection [PDF]
arXiv, 2022 Despite most existing anomaly detection studies assume the availability of normal training samples only, a few labeled anomaly examples are often available in many real-world applications, such as defect samples identified during random quality inspection, lesion images confirmed by radiologists in daily medical screening, etc.
arxiv
Hamiltonian approach to the torsional anomalies and its dimensional ladder [PDF]
Phys. Rev. B 101, 165201 (2020), 2019 Torsion can cause various anomalies in various dimensions, including the $\left(3+1\right)$-dimensional $[(3+1)D]$ Nieh-Yan anomaly, the $\left(2+1\right)$D Hughes-Leigh-Fradkin (HLF) parity anomaly, and the $\left(3+1\right)$D, $\left(1+1\right)$D chiral energy-momentum anomaly. We study these anomalies from the Hamiltonian approach.
arxiv +1 more source
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection [PDF]
arXiv, 2023 Open-set supervised anomaly detection (OSAD) - a recently emerging anomaly detection area - aims at utilizing a few samples of anomaly classes seen during training to detect unseen anomalies (i.e., samples from open-set anomaly classes), while effectively identifying the seen anomalies.
arxiv
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data [PDF]
, 2020 We consider the problem of anomaly detection with a small set of partially labeled anomaly examples and a large-scale unlabeled dataset. This is a common scenario in many important applications. Existing related methods either exclusively fit the limited anomaly examples that typically do not span the entire set of anomalies, or proceed with ...
arxiv +1 more source
Myelodysplasia in children with anorectal malformations [PDF]
Einstein (São Paulo), 2006 Objective: To compare computed tomography and magneticresonance imaging accuracy to diagnose myelodysplasia inpatients with anorectal anomaly, to verify the prevalence of tetheredspinal cord, and to investigate if there is a direct relation betweenthe ...
Karine Furtado Meyer +2 more
doaj
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model [PDF]
arXiv, 2023 Anomaly inspection plays an important role in industrial manufacture. Existing anomaly inspection methods are limited in their performance due to insufficient anomaly data. Although anomaly generation methods have been proposed to augment the anomaly data, they either suffer from poor generation authenticity or inaccurate alignment between the ...
arxiv