Hematology

Lymphoma

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

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Showing 2038-2058 of 9,019 articles
Non-iterative geometric approach for inverse kinematics of redundant lead-module in a radiosurgical snake-like robot.

BACKGROUND: Snake-like robot is an emerging form of serial-link manipulator with the morphologic des...

Anatomic and non-anatomic anterior cruciate ligament posterolateral bundle augmentation affects graft function.

PURPOSE: The purpose of this study is to compare knee laxity and graft function (tissue force) betwe...

Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles...

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinat...

Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.

BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortalit...

Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.

Falls are a major cause of injuries and deaths in older adults. Even when no injury occurs, about ha...

Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules.

MHC class II molecules play a fundamental role in the cellular immune system: they load short peptid...

Bird sound spectrogram decomposition through Non-Negative Matrix Factorization for the acoustic classification of bird species.

Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been base...

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants.

Disease and trait-associated variants represent a tiny minority of all known genetic variation, and ...

Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in d...

Medical image classification based on multi-scale non-negative sparse coding.

With the rapid development of modern medical imaging technology, medical image classification has be...

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren's Syndrome and Non-Autoimmune Sicca Symptoms.

OBJECTIVES: This study aims to describe salivary beta-2 microglobulin (sB2M) levels in our setting a...

A new near-lossless EEG compression method using ANN-based reconstruction technique.

Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amou...

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their h...

Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymp...

An automatic non-invasive method for Parkinson's disease classification.

BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is at...

An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs...

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