Pathology

Pathology

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

10,203 articles

Showing 4957-4977 of 10,203 articles

Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.

IMPORTANCE: Histopathological diagnoses of tumors from tissue biopsy after hematoxylin and eosin (H&...

May 2020 32432709

Expert-level automated malaria diagnosis on routine blood films with deep neural networks.

Over 200 million malaria cases globally lead to half a million deaths annually. Accurate malaria dia...

Apr 2020 32282969

Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images.

Because histologic types are subjective and difficult to reproduce between pathologists, tissue morp...

Apr 2020 32350370

Validation of machine learning models to detect amyloid pathologies across institutions.

Semi-quantitative scoring schemes like the Consortium to Establish a Registry for Alzheimer's Diseas...

Apr 2020 32345363

Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is the second most common genitourinary malignancy...

Apr 2020 32354610

Robotically handled whole-tissue culture system for the screening of oral drug formulations.

Monolayers of cancer-derived cell lines are widely used in the modelling of the gastrointestinal (GI...

Apr 2020 32341538

Technological advances for the detection of melanoma: Advances in diagnostic techniques.

Managing the balance between accurately identifying early stage melanomas while avoiding obtaining b...

Apr 2020 32348823

Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

The objective of this study was to assess the impact of artificial intelligence (AI)-based decision...

Apr 2020 32319794

Deep learning for mass detection in Full Field Digital Mammograms.

In recent years, the use of Convolutional Neural Networks (CNNs) in medical imaging has shown improv...

Apr 2020 32339095

Natural Language Generation Model for Mammography Reports Simulation.

Extending the size of labeled corpora of medical reports is a major step towards a successful traini...

Apr 2020 32324577

Early-Stage Lung Cancer Diagnosis by Deep Learning-Based Spectroscopic Analysis of Circulating Exosomes.

Lung cancer has a high mortality rate, but an early diagnosis can contribute to a favorable prognosi...

Apr 2020 32286793

Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.

Super-resolution ultrasound (SR-US) imaging is a new technique that breaks the diffraction limit and...

Apr 2020 32305911

Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk.

Terminal duct lobular unit (TDLU) involution is the regression of milk-producing structures in the b...

Apr 2020 32294107

Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imag...

Apr 2020 32289884

[Deep Learning in Pathology: Applications and Challenges in Ophthalmic Pathology].

INTRODUCTION: Deep learning has received increasing attention in recent years and is used in many di...

Apr 2020 32289848

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.

Deep learning has recently gained popularity in digital pathology due to its high prediction quality...

Apr 2020 32286358

Cellular community detection for tissue phenotyping in colorectal cancer histology images.

Classification of various types of tissue in cancer histology images based on the cellular compositi...

Apr 2020 32330851

Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of...

Apr 2020 32339983

Deep Learning for Ultrasound Localization Microscopy.

By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy (ULM) has re...

Apr 2020 32286964

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...

Apr 2020 32166768

Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candid...

Apr 2020 32265031

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