Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning mod
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Jakob Nybo Nissen, Caroline Brorsson, Gianluca Mazzoni, Lili Niu, Jorge Hern...
We aimed at exploring the potential of deep learning models in the identification of lung cancer subtypes and cancer mimics from WSIs. Methods We initially obtained 741 WSIs from the First Affiliated Hospital of Sun Yat-sen University (SYSUFH) for the deep learning model development, optimization,...
Deep Learning Type Inference of Python Function Signatures using their Natural Language Context DLTPy makes type predictions based on comments, on the semantic elements of the function name and argument names, and on the semantic elements of identifiers in the return expressions. Using the natural la...
The knowledge module is designed to activate the candidate network channel by pre-detection of wafer maps. The experiment results indicated that the proposed model outperforms conventional models and other deep learning models, which demonstrated that the knowledge augmented broad selective sampling ...
2.2. Modern CNN models The preliminaries of CNN architectures adopted in this paper are introduced in this section. As one of the most important and prominent models in deep learning methods, CNNs have shown advantages in many application areas, such as computer vision, speech recognition and med...
AutoGluon is toolkit for Deep learning that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data. Anaconda is...
摘要: Pattern Recognition and Image Analysis - Pneumonia is a highly dangerous state that poses serious risks to the health of a patient. In contrast to common pneumonia, lung disease COVID-19 causes a...关键词: deep learning neural networks analysis of medical images analysis of radiological ...
Consistent annotation transfer from reference dataset to query dataset is fundamental to the development and reproducibility of single-cell research. Compared with traditional annotation methods, deep learning based methods are faster and more automated. A series of useful single cell analysis tools based...
However, these methods are often expensive and time-consuming and require large amounts of input RNA. In recent years, there has been increasing interest in using computational methods based on machine learning models to analyse RNA sequences. Pretrained language models, on the other hand, have ...