Hematology

Lymphoma

Latest AI and machine learning research in lymphoma for healthcare professionals.

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Showing 1366-1386 of 8,999 articles
Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.

PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of...

State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy.

Nowadays, electric vehicles have gained great popularity due to their performance and efficiency. In...

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features.

Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood ...

COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques.

SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pan...

Improving the leak detection efficiency in water distribution networks using noise loggers.

Leak detection techniques are effective ways of controlling water leakage in real water distribution...

Marker effects and heritability estimates using additive-dominance genomic architectures via artificial neural networks in Coffea canephora.

Many methodologies are used to predict the genetic merit in animals and plants, but some of them req...

A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines.

The reformations of the electrical power sector have resulted in very dynamic and competitive market...

Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data.

Infrared absorption spectroscopy is a widely used tool to quantify and monitor compositions of gases...

Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.

The synthetic chemicals in food contact materials can migrate into food and endanger human health. I...

Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization.

Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for c...

Finite-time stabilization of complex-valued neural networks with proportional delays and inertial terms: A non-separation approach.

This article mainly dedicates on the issue of finite-time stabilization of complex-valued neural net...

Machine Learning Based Non-Enhanced CT Radiomics for the Identification of Orbital Cavernous Venous Malformations: An Innovative Tool.

PURPOSE: To evaluate the capability of non-enhanced computed tomography (CT) images for distinguishi...

Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions.

Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is...

Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.

Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on t...

A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments.

Object recognition is among the basic survival skills of human beings and other animals. To date, ar...

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...

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