Pathology

Pathology

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

10,223 articles

Showing 5545-5565 of 10,223 articles

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure...

Apr 2018 29614076

Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data.

OBJECTIVE: In this study, we sought to refine histologic scoring of rheumatoid arthritis (RA) synovi...

Apr 2018 29468833

Bioactive polymeric formulations for wound healing.

Ricinoleic acid (RA) has potential to promote wound healing because of its analgesic and anti-inflam...

Mar 2018 30923437

Deep learning in mammography and breast histology, an overview and future trends.

Recent improvements in biomedical image analysis using deep learning based neural networks could be ...

Mar 2018 29679847

Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign ...

Mar 2018 29474742

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.

OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate me...

Mar 2018 29755715

Detecting and classifying lesions in mammograms with Deep Learning.

In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists ...

Mar 2018 29545529

Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.

Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate of thos...

Mar 2018 29446758

Predicting cancer outcomes from histology and genomics using convolutional networks.

Cancer histology reflects underlying molecular processes and disease progression and contains rich p...

Mar 2018 29531073

Advances in automated tongue diagnosis techniques.

Tongue diagnosis can be an effective, noninvasive method to perform an auxiliary diagnosis any time ...

Mar 2018 30949431

Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevale...

Mar 2018 29518931

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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing Data.

Bioactive polymeric formulations for wound healing.

Deep learning in mammography and breast histology, an overview and future trends.

Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.

Detecting and classifying lesions in mammograms with Deep Learning.

Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.

Predicting cancer outcomes from histology and genomics using convolutional networks.

Advances in automated tongue diagnosis techniques.

Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering.

Noninvasive detection of macrophage activation with single-cell resolution through machine learning.

Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Using machine-learning to optimize phase contrast in a low-cost cellphone microscope.

Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks.

Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

Agile convolutional neural network for pulmonary nodule classification using CT images.

Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.

Machine learning-based diagnosis of melanoma using macro images.

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.

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