Results 61 to 70 of about 2,715,607 (290)
Object Detection Using Multi-Scale Balanced Sampling
Detecting small objects and objects with large scale variants are always challenging for deep learning based object detection approaches. Many efforts have been made to solve these problems such as adopting more effective network structures, image ...
Hang Yu, Jiulu Gong, Derong Chen
doaj +1 more source
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source
3D Scanner Using Infrared for Small Object
Three-Dimensional scanning is a method to convert various distances set into object visualization in 3-dimensional form. Developing a 3D scanner has various methods and techniques depending on the 3d scanner's purpose and the size of the object target ...
Marlindia Ike Sari +4 more
doaj +1 more source
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Hierarchical Motion Estimation for Small Objects in Frame-Rate Up-Conversion
Block-based hierarchical motion estimations are widely used for frame interpolation in frame-rate up-conversion and are successful in generating high-quality interpolations.
Nguyen Van Thang +4 more
doaj +1 more source
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions
Appearance-based generic object recognition is a challenging problem because all possible appearances of objects cannot be registered, especially as new objects are produced every day.
Matsuo, Tadashi, Shimada, Nobutaka
core +1 more source
In this paper, we describe a strategy for training neural networks for object detection in range images obtained from one type of LiDAR sensor using labeled data from a different type of LiDAR sensor. Additionally, an efficient model for object detection
Dietmayer, Klaus, Herzog, Manuel
core +1 more source
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Navigating ‘Small Objects of Foreignness’
Too often, totalizing discourses about the nature of the global metropole attempt to control its social and political story and render it an idealized object rather than a space of discrete subjects and perspectives. Walking the city is an act of social experience that allows the urban wanderer to see what has previously been hidden or inaccessible ...
openaire +1 more source
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source

