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Showing 4684-4704 of 6,933 articles

Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study.

Medical images such as magnetic resonance (MR) imaging provide valuable information for cancer detec...

Aug 2019 31467303

A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

Automatic sleep staging methods usually extract hand-crafted features or network trained features fr...

Aug 2019 31478877

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.

PURPOSE: To enhance clinician's decision-making by diagnosing hepatocellular carcinoma (HCC) in cirr...

Aug 2019 31444598

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign fe...

Aug 2019 31443108

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...

Aug 2019 31443703

Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.

BACKGROUND: Pioneering effort has been made to facilitate the recognition of pathology in malignanci...

Aug 2019 31017653

Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Progress in computing power and advances in medical imaging over recent decades have culminated in n...

Aug 2019 31447230

Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains ...

Aug 2019 31422502

An improved fuzzy-differential evolution approach applied to classification of tumors in liver CT scan images.

Fuzzy inference systems have been frequently used in medical diagnosis for managing uncertainty sour...

Aug 2019 31418157

Documentation of Palliative and End-of-Life Care Process Measures Among Young Adults Who Died of Cancer: A Natural Language Processing Approach.

Few studies have investigated palliative and end-of-life care processes among young adults (YAs), ag...

Aug 2019 31411524

Classification and Segmentation of Hyperspectral Data of Hepatocellular Carcinoma Samples Using 1-D Convolutional Neural Network.

Pathological diagnosis plays an important role in the diagnosis and treatment of hepatocellular carc...

Aug 2019 31403260

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis.

The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer...

Aug 2019 31406351

Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy.

PURPOSE: New-onset pituitary gland lesions are observed in up to 18% of cancer patients undergoing t...

Aug 2019 31415986

Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.

Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnosti...

Aug 2019 31398111

Oncology/Hematology

Browse Categories

Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study.

A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.

Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

An improved fuzzy-differential evolution approach applied to classification of tumors in liver CT scan images.

Documentation of Palliative and End-of-Life Care Process Measures Among Young Adults Who Died of Cancer: A Natural Language Processing Approach.

Classification and Segmentation of Hyperspectral Data of Hepatocellular Carcinoma Samples Using 1-D Convolutional Neural Network.

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis.

Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy.

Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.

Machine learning applications in prostate cancer magnetic resonance imaging.

Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.

3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning.

Support Vector Machine Classification of Nonmelanoma Skin Lesions Based on Fluorescence Lifetime Imaging Microscopy.

A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.

Automated detection and classification of early AMD biomarkers using deep learning.

A Fundamental Study Assessing the Diagnostic Performance of Deep Learning for a Brain Metastasis Detection Task.

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