Circulating genetically abnormal cells (CACs) constitute an important biomarker for cancer
diagnosis and prognosis. This biomarker offers high safety, low cost, and high repeatability …

Recent studies have suggested that circulating tumor cells with abnormalities in gene copy
numbers in mononuclear cell‐enriched peripheral blood samples, such as circulating …

Featured Application In this study, the left and right footprint images were predicted based
on deep learning object detection models. YOLOv4 models are the most balanced deep …

Abstract Fluorescence in Situ Hybridization (FISH) is a technique for macromolecule
identification that utilizes the complementarity of DNA or DNA/RNA double strands. Probes …

Background Bone age assessment (BAA) is a crucial research topic in pediatric radiology.
Interest in the development of automated methods for BAA is increasing. The current BAA …

It is difficult for traditional signal-recognition methods to effectively classify and identify
multiple emitter signals in a low SNR environment. This paper proposes a multi-emitter …

The rapid and automatic detection of ships in restricted visibility is crucial for protecting the
safety of maritime navigation. The frequent presence of fog in maritime environments causes …

The intricacy of segmentation is intensified by the morphological variability of cell nuclei.
While, the U-Net model can achieve commendable outcomes in such contexts, it encounters …

Image captioning is a task of generating natural language descriptions for images, which is
important and challenging in computer vision. This task involves both visual and linguistic …

Circulating genetically abnormal cells (CACs) serve as crucial biomarkers for lung cancer
diagnosis. Detecting CACs holds great value for early diagnosis and screening of lung …