Results 51 to 60 of about 296,550 (316)
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Diabetic retinopathy (DR), the main cause of irreversible blindness, is one of the most common complications of diabetes. At present, deep convolutional neural networks have achieved promising performance in automatic DR detection tasks.
Xiaoling Luo +6 more
doaj +1 more source
Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni +2 more
doaj +1 more source
Scalable Object Detection for Stylized Objects
9 pages, 7 ...
Aayush Garg +4 more
openaire +2 more sources
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
An Adaptive Network for Arbitrary-Oriented and Small Object Detection in Remote Sensing Images
To address the challenges posed by detection of arbitrary orientation object and small object in remote sensing imagery, this paper proposes an innovative object detection model based on YOLOv8, named YOLOv8-DFS.
Zhiyong Zeng, Chao Wu, Wenqi Zeng
doaj +1 more source
Object detection for industrial food recognition
reservedThis work is dedicated to developing an object detection system for food recognition inside a professional oven. Deploying an object detector will automate the oven-user interaction, and decrease the mistake rate, associated with the wrong choice
IANKO, PAVEL
core
Objectness to assist salient object detection
When dealing with salient object that contains several regions with different appearances, salient object detection can be a difficult task as often only parts of the salient object are highlighted and consistency between the salient regions is poor.
Xiaoliang Sun +4 more
openaire +1 more source
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Auxiliary Detection Head for One-Stage Object Detection
The auxiliary classifier can improve the performance of classification networks. However, the utility of the auxiliary detection head has not been explored in the object detection field.
Guozheng Jin +2 more
doaj +1 more source

