Pathology

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

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Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation.

In supervised learning for medical image analysis, sample selection methodologies are fundamental to...

Sep 2021 33625979
A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato t...

Sep 2021 34228624
Rapid, label-free classification of tumor-reactive T cell killing with quantitative phase microscopy and machine learning.

Quantitative phase microscopy (QPM) enables studies of living biological systems without exogenous l...

Sep 2021 34593878
Improved breast cancer histological grading using deep learning.

BACKGROUND: The Nottingham histological grade (NHG) is a well-established prognostic factor for brea...

Sep 2021 34756513
Detection of malignant melanoma in H&E-stained images using deep learning techniques.

Histopathological images are widely used to diagnose diseases including skin cancer. As digital hist...

Sep 2021 34634635
Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.

AIMS: Predicting the risk of malignant arrhythmias (MA) in hospitalized patients with heart failure ...

Sep 2021 34585531
New sensing platform of poly(ester-urethane)urea doped with gold nanoparticles for rapid detection of mercury ions in fish tissue.

A new electrochemical sensor has been fabricated based on the synthesis of poly(ester-urethane) ure...

Sep 2021 35496891
Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets.

The use of infrared spectroscopy to augment decision-making in histopathology is a promising directi...

Sep 2021 34570844
Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone.

High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of recurrence...

Sep 2021 34580357
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.

Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscie...

Sep 2021 34571160
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagn...

Sep 2021 34556677
Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images.

Oral potentially malignant disorders (OPMDs) are a group of conditions that can transform into oral ...

Sep 2021 34548194
Long-term effect of tocilizumab on left ventricular hypertrophy and systolic dysfunction in AA amyloidosis with rheumatoid arthritis.

Because cardiac involvement of amyloid A (AA) is not frequent, little is known about the effects of ...

Sep 2021 35261706
Mechanical Imaging of Soft Tissues With Miniature Climbing Robots.

Systematically mapping the mechanical properties of skin and tissue is useful for biomechanics resea...

Sep 2021 33798064
Peak learning of mass spectrometry imaging data using artificial neural networks.

Mass spectrometry imaging (MSI) is an emerging technology that holds potential for improving, biomar...

Sep 2021 34545087
Acute toxicity of aqueous extract of Mill. on biochemical and histopathological parameters in rats.

Medicinal plants play an important role in the management of various diseases, so their use has beco...

Sep 2021 35419274
Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study.

Histopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metast...

Sep 2021 34533669
Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry.

Holographic cytometry is introduced as an ultra-high throughput implementation of quantitative phase...

Sep 2021 34572104
Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine.

Gas turbine is widely used because of its advantages of fast start and stop, no pollution, and high ...

Sep 2021 34580586
Transoral robotic resection of a lingual thyroid: a novel treatment for obstructive sleep apnoea.

A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...

Sep 2021 34531229
Highly accurate diagnosis of lung adenocarcinoma and squamous cell carcinoma tissues by deep learning.

Intraoperative detection of the marginal tissues is the last and most important step to complete the...

Sep 2021 34547683
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