As a challenging task in computer vision, instance segmentation has attracted extensive
attention in recent years. Able to obtain very rich and refined object information, this …

We propose a novel Attentional Scale Sequence Fusion based You Only Look Once (YOLO)
framework (ASF-YOLO) which combines spatial and scale features for accurate and fast cell …

With the wide application of deep learning in the field of computer vision, the technology of
object detection continues to make breakthroughs, and the bounding box regression …

Object detection is an important task in intelligent transportation scenes, and the
performance of small object detection is directly related to its practical application. Small …

Simple Summary Tumor-infiltrating lymphocytes have gained a critical role in the newly
developed cancer immunotherapy methods. Traditionally, pathologists and researchers …

Background Most bile duct (BDI) injuries during laparoscopic cholecystectomy (LC) occur
due to visual misperception leading to the misinterpretation of anatomy. Deep learning (DL) …

Simple Summary With the rapid development of technology, artificial intelligent become a
major breakthrough that can help human with laborious job. Previously cardiac imaging in …

Magnetic resonance imaging is an important tool for characterizing volumetric changes of
the piglet brain during development. Typically, an early step of an imaging analysis pipeline …

The advent of cellular segmentation machine learning technology developed within the past
decade improved nuclei and membrane morphology predictions. Immunostaining is often …

Innovation management plays a pivotal role in harnessing advanced technologies to drive
progress across diverse fields. In this context, integrating deep learning models within …