Pathology

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

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The future of pathology is digital.

Information, archives, and intelligent artificial systems are part of everyday life in modern medici...

Jun 2020 32825928
Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.

BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether beni...

Jun 2020 32555130
Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens.

Automatically detecting and grading cancerous regions on radical prostatectomy (RP) sections facilit...

Jun 2020 32555410
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis.

Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antib...

Jun 2020 32628162
Deep learning-based survival prediction for multiple cancer types using histopathology images.

Providing prognostic information at the time of cancer diagnosis has important implications for trea...

Jun 2020 32555646
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning.

An outstanding challenge in single-molecule localization microscopy is the accurate and precise loca...

Jun 2020 32541853
Automated classification of cancer from fine needle aspiration cytological image use neural networks: A meta-analysis.

BACKGROUND: The role of retrospective analysis has been evolved greatly in cancer research. We under...

Jun 2020 32530573
Weakly-supervised learning for lung carcinoma classification using deep learning.

Lung cancer is one of the major causes of cancer-related deaths in many countries around the world, ...

Jun 2020 32518413
Accidental Magnetic Resonance Imaging Activation of Carbon Dioxide Tissue Expanders.

Implant-based reconstruction is the most common form of breast reconstruction following mastectomy. ...

Jun 2020 33791647
Untethered Single Cell Grippers for Active Biopsy.

Single cell manipulation is important in biosensing, biorobotics, and quantitative cell analysis. Al...

Jun 2020 32463679
Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice.

Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vesse...

Jun 2020 32508268
Safety and efficacy of subcutaneous alpha-tocopherol in healthy adult horses.

Vitamin E is essential for neuromuscular function. The primary treatment, oral supplementation with ...

Jun 2020 34326575
Particulate impurities in cell-based medicinal products traced by flow imaging microscopy combined with deep learning for image analysis.

Cell-based medicinal products (CBMPs) are rapidly gaining importance in the treatment of life-threat...

Jun 2020 32507606
An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms.

Current methods of evaluating the degree of diabetic retinopathy are highly subjective and have no q...

Jun 2020 32502641
Integrative blockwise sparse analysis for tissue characterization and classification.

The topic of sparse representation of samples in high dimensional spaces has attracted growing inter...

Jun 2020 32828443
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.

MOTIVATION: Brain or central nervous system cancer is the tenth leading cause of death in men and wo...

May 2020 32658726
Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.

A pathological evaluation is one of the most important methods for the diagnosis of malignant lympho...

May 2020 32472096
Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media.

Pathologists are responsible for rapidly providing a diagnosis on critical health issues. Challengin...

May 2020 32467650
Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.

Background Deep learning may help to improve computer-aided detection of volume (CADv) measurement o...

May 2020 32452736
Detection of Intestinal Protozoa in Trichrome-Stained Stool Specimens by Use of a Deep Convolutional Neural Network.

Intestinal protozoa are responsible for relatively few infections in the developed world, but the te...

May 2020 32295888
Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework.

PURPOSE: To accurately distinguish benign from malignant pulmonary nodules with CT based on partial ...

May 2020 32505895
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