Deep-learningrecognitionandtrackingofindividualnanotubesinlow-contrastmicroscopyvideos
This study addresses the challenge of analyzing the growth kinetics of carbon nanotubes using in-sit
This study addresses the challenge of analyzing the growth kinetics of carbon nanotubes using in-sit
Large Language Models (LLMs) demonstrate impressive capabilities across various domains, including r
The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computationa
Generative text-to-image models are disrupting the lives of creative professionals. Specifically, il
Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial
This paper presents a probabilistic approach to analyzing copyright infringement disputes by formali
Single-molecule localization microscopy (SMLM) surpasses the diffraction limit, achieving subcellula
Objective: Depth estimation is crucial for endoscopic navigation and manipulation, but obtaining gro
Advances in microscopy imaging enable researchers to visualize structures at the nanoscale level the
In this paper we present a new machine learning workflow with unsupervised learning techniques to id