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Showing 4138-4158 of 8,409 articles

Wavelet decomposition facilitates training on small datasets for medical image classification by deep learning.

The adoption of low-dose computed tomography (LDCT) as the standard of care for lung cancer screenin...

Jan 2021 PMID: 33502624

A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.

OBJECTIVES: To investigate the value of full-field digital mammography-based deep learning (DL) in p...

Jan 2021 PMID: 33496829

Radiomics to better characterize small renal masses.

PURPOSE: Radiomics is a specific field of medical research that uses programmable recognition tools ...

Jan 2021 PMID: 33495866

Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cel...

Jan 2021 PMID: 33500529

A deep learning-based model for screening and staging pneumoconiosis.

This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pne...

Jan 2021 PMID: 33500426

Using natural language processing to explore heterogeneity in moral terminology in palliative care consultations.

BACKGROUND: High quality serious illness communication requires good understanding of patients' valu...

Jan 2021 PMID: 33494745

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.

Drug combinations targeting multiple targets/pathways are believed to be able to reduce drug resista...

Jan 2021 PMID: 33936513

Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images.

BACKGROUND: Traditional diagnosis methods for lymph node metastases are labor-intensive and time-con...

Jan 2021 PMID: 33484355

Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay.

Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopatholo...

Jan 2021 PMID: 33483841

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images.

Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular ...

Jan 2021 PMID: 33479370

Sarcoma classification by DNA methylation profiling.

Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They...

Jan 2021 PMID: 33479225

Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications.

We here propose a new method of combining a mathematical model that describes a chemotherapy treatme...

Jan 2021 PMID: 33482276

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors.

Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers fo...

Jan 2021 PMID: 33461601

On the identification of thyroid nodules using semi-supervised deep learning.

Detecting malign cases from thyroid nodule examinations is crucial in healthcare particularly to imp...

Jan 2021 PMID: 33389785

QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network.

Tumor segmentation in brain MRI images is a noted process that can make the tumor easier to diagnose...

Jan 2021 PMID: 33542920

A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.

OBJECTIVE: The aim of this study was to develop and validate machine learning-based radiomics model ...

Jan 2021 PMID: 33454875

High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video).

BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differenti...

Jan 2021 PMID: 33465354

Oncology/Hematology

Browse Categories

Wavelet decomposition facilitates training on small datasets for medical image classification by deep learning.

A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.

Radiomics to better characterize small renal masses.

Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

A deep learning-based model for screening and staging pneumoconiosis.

Using natural language processing to explore heterogeneity in moral terminology in palliative care consultations.

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.

Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images.

Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay.

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images.

Sarcoma classification by DNA methylation profiling.

Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications.

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors.

On the identification of thyroid nodules using semi-supervised deep learning.

QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network.

A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.

High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video).

Classification of malignant lung cancer using deep learning.

Intelligent automated drug administration and therapy: future of healthcare.

Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches.

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