Official Repository for "Multi-View Pose-Agnostic Change Localization with Zero Labels ... We propose a novel label-free, pose-agnostic change detection method that integrates information from ...

3.1 The network architecture of adaptive multi-object tracking. The YOLOv8 (Terven et al., 2023) detection algorithm represents a significant advancement in the YOLO series, integrating cutting-edge ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Guardant Health, Inc. (Nasdaq: GH), a leading precision oncology company, today announced that its Shield multi-cancer detection (MCD) test has been granted ...

Background: Alectinib is a next generation oral inhibitor of ALK-fusion proteins, being investigated in children and adolescents with ALK-fusion bearing tumors at diagnosis or relapse. Here we present ...

Researchers from the University of Rochester and University of California, Santa Barbara, engineered a laser device smaller than a penny that they say could power everything from the LiDAR systems ...

Methods: In this open-label, multi-center phase II study, patients with untreated, histologically confirmed TNBC in stage II-III were enrolled. Patients received 6 cycles of neoadjuvant therapy with ...

Object detection in underwater optical imagery plays a crucial role in various fields related to underwater exploration. However, manual annotation of such images often results in incomplete ground ...

Underwater image enhancement has led to mixed performance when used in conjunction with object detectors. Some works report an improvement in object detection performance when used in conjunction with ...

Monitoring food quality requires the development of low-cost and sensitive analytical tools with label-free and point-of-site detection capabilities. Surface-enhanced Raman scattering (SERS) is a ...