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Hematology Subcategories: Hematology Hemophilia Leukemia Lymphoma Multiple Myeloma Myeloma

Showing 1072-1092 of 6,006 articles

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...

Sep 2021 34666874

Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated w...

Jun 2021 34135101

Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.

Kinases play important roles in diverse cellular processes, including signaling, differentiation, pr...

Mar 2021 33674381

Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains cha...

Feb 2021 33727745

Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods.

BACKGROUND: Advanced machine learning methods can aid in the identification of dementia risk using n...

Jan 2021 33579858

Deep Learning Analysis in Prediction of COVID-19 Infection Status Using Chest CT Scan Features.

Background and aims Non-contrast chest computed tomography (CT) scanning is one of the important too...

Jan 2021 34279835

Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

This study aimed to explore the ability of texture parameters combining with machine learning metho...

Jan 2021 34499018

HONEM: Learning Embedding for Higher Order Networks.

Representation learning on networks offers a powerful alternative to the oft painstaking process of ...

Aug 2020 32820952

A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL.

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous entity of B-cell lymphoma. Cell-of-origin (...

Jul 2020 32722783

Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs.

3D data is becoming increasingly popular and accessible for computer vision tasks. A popular format ...

Jul 2020 33018384

Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods.

Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is...

Jul 2020 33019198

Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.

Remarkable progress has been made in image classification and segmentation, due to the recent study ...

Dec 2019 31062113

[Study of Skip Metastasis to Lateral Lymph Nodes in Low Rectal Cancer].

We reviewed the clinical records of 302 patients with low rectal carcinoma to evaluate the effective...

Dec 2019 32157055

Deep convolutional neural network for reduction of contrast-enhanced region on CT images.

This study aims to produce non-contrast computed tomography (CT) images using a deep convolutional n...

Oct 2019 31125068

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves...

Aug 2019 31438236

Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image Reconstruction.

Electrical impedance tomography (EIT) is a noninvasive and non-radiative medical imaging technique b...

Jul 2019 31946190

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.

Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunct...

Jul 2019 31946330

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...

May 2019 31058542

Hematology

Browse Categories

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.

Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods.

Deep Learning Analysis in Prediction of COVID-19 Infection Status Using Chest CT Scan Features.

Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

HONEM: Learning Embedding for Higher Order Networks.

A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL.

Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs.

Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods.

Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.

[Study of Skip Metastasis to Lateral Lymph Nodes in Low Rectal Cancer].

Deep convolutional neural network for reduction of contrast-enhanced region on CT images.

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image Reconstruction.

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method.

Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

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