Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Deep learning (DL) methods offer a promising solution by reconstructing raw, low-quality data into high-resolution images, helping to preserve diagnostic accuracy even under time constraints.

Tong, K. and Wu, Y. (2022) Deep Learning-Based Detection from the Perspective of Small or Tiny Objects A Survey. Image and Vision Computing, 123, Article ID 104471.

Deep neural network models and enhanced object representation have led to significant progress in object detection. This research investigates in greater detail how object detection has changed in the ...

Methods: Our SPT was developed primarily through two steps (subsequently called versions) using image data with different backgrounds captured with simple smartphone cameras. The two versions (V1 and ...

The rise of convolutional networks in computer vision, especially for generic object detection, has led to the emergence of a myriad of efficient and precise object detection models. Typically, deep ...

Deep learning-based 3D object detectors often require large-scale labeled 3D datasets, which can be expensive to annotate. To tackle this issue, we introduce a core-set sampling strategy within an ...