Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...

This work introduces Evidential Deep Learning (EDL) into Partial Label Learning (PLL) by using a Dirichlet distribution to model candidate label sets as "evidence" for disambiguation trustworthiness.

Abstract: Ophthalmic diseases are a major contributor of blindness and visual impairment globally. Effective treatment and halting the progression of the disease depend on an early and precise ...

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

Abstract: Multi-label classification of English social media texts has become an important task in natural language processing (NLP). Traditional classification methods have shortcomings in dealing ...