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Showing 3676-3696 of 6,659 articles

A bilinear convolutional neural network for lung nodules classification on CT images.

PURPOSE: Lung cancer is the most frequent cancer worldwide and is the leading cause of cancer-relate...

Nov 2020 PMID: 33140257

Protein molecular defect detection method based on a neural network algorithm.

Proteins, as the largest macromolecules in the body, are among the most important components of the ...

Oct 2020 PMID: 33287926

The detection of lung cancer using massive artificial neural network based on soft tissue technique.

BACKGROUND: A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule...

Oct 2020 PMID: 33129343

Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

OBJECTIVES: To develop and validate a preoperative CT-based deep learning model for the prediction o...

Oct 2020 PMID: 33125556

Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.

OBJECTIVE: We aimed to develop a deep neural network for segmenting lung parenchyma with extensive p...

Oct 2020 PMID: 33169549

Synchronous Robot-Assisted Pulmonary and Urologic Resections for Cancer.

Synchronous cancers should be first evaluated at high-volume referral oncological centers. Multidisc...

Oct 2020 PMID: 33124925

Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...

Oct 2020 PMID: 33127965

Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The large number of available MRI sequences means patients cannot realistically undergo them all, so...

Oct 2020 PMID: 33123938

The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purpose.

With the number of affected individuals still growing world-wide, the research on COVID-19 is contin...

Oct 2020 PMID: 33161334

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical a...

Oct 2020 PMID: 32746111

Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to...

Oct 2020 PMID: 33116221

Electrochemical SARS-CoV-2 Sensing at Point-of-Care and Artificial Intelligence for Intelligent COVID-19 Management.

To manage the COVID-19 pandemic, development of rapid, selective, sensitive diagnostic systems for e...

Oct 2020 PMID: 35019473

Using deep learning to model the biological dose prediction on bulky lung cancer patients of partial stereotactic ablation radiotherapy.

PURPOSE: To develop a biological dose prediction model considering tissue bio-reactions in addition ...

Oct 2020 PMID: 33012059

Browse Categories

A bilinear convolutional neural network for lung nodules classification on CT images.

Protein molecular defect detection method based on a neural network algorithm.

The detection of lung cancer using massive artificial neural network based on soft tissue technique.

Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.

Synchronous Robot-Assisted Pulmonary and Urologic Resections for Cancer.

Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.

The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purpose.

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Electrochemical SARS-CoV-2 Sensing at Point-of-Care and Artificial Intelligence for Intelligent COVID-19 Management.

Using deep learning to model the biological dose prediction on bulky lung cancer patients of partial stereotactic ablation radiotherapy.

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.

Thrombolysis of Pulmonary Emboli via Endobronchial Ultrasound-Guided Transbronchial Needle Injection.

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.

Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model.

Implementation of convolutional neural network approach for COVID-19 disease detection.

Fully 3D Active Surface with Machine Learning for PET Image Segmentation.

Efficacy of bilateral erector spinae block for post-operative analgesia in liver hydatid surgery.

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches.

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