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 …

Deep Learning has garnered significant attention in the field of object detection and is
widely used in both industry and everyday life. The objective of this study is to investigate the …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Agriculture encompasses the study, practice, and discipline of plant cultivation. Agriculture
has an extensive history dating back thousands of years. Depending on climate and terrain …

Small object detection in large-scale remote sensing images (RSIs) is crucial for military and
civil applications, but it remains challenging. Since small objects occupy few pixels, their …

Object detection, as one of the most fundamental and essential tasks in the field of computer
vision, has been the focus of unremitting efforts by researchers, who are committed to …

In the field of object detection, due to the complexity of realistic scenarios, the objects are
mostly obscured and semantic-confusable. The existing CNNs-based object detectors focus …

Simple Summary Esophageal carcinoma (EC) is a major cause of cancer deaths since it is
first undetectable in its early stages. Narrow-band imaging (NBI) detects EC more …

At present, COVID-19 is posing a serious threat to global human health. The features of
hand veins in infrared environments have many advantages, including non-contact …

The thighbone is the largest bone supporting the lower body. If the thighbone fracture is not
treated in time, it will lead to lifelong inability to walk. Correct diagnosis of thighbone disease …