Pathology

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

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Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Artificial intelligence (AI) has become increasingly widespread in our daily lives, including health...

Mar 2021 33709607
[New Trends of Development in Precision Pathological Diagnosis Promoted by Artificial Intelligence].

Precision pathological diagnosis plays a vital role in precision medicine. Both the limited resource...

Mar 2021 33829683
[Digital Pathology: Current Status and Prospects of Clinical Application].

In recent years, with the progress of image processing and network transmission technology, digital ...

Mar 2021 33829684
Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflam...

Mar 2021 34160357
[Application of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients].

To investigate the diagnostic efficacy and potential application value of deep learning-based chest...

Feb 2021 33631892
Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.

PURPOSE: The ability to reliably distinguish benign from malignant solid liver lesions on ultrasonog...

Feb 2021 32681268
Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains cha...

Feb 2021 33727745
Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers.

BACKGROUND: Pathological diagnosis of glioma subtypes is essential for treatment planning and progno...

Jan 2021 32663285
Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning.

The quality control of fetal sonographic (FS) images is essential for the correct biometric measurem...

Jan 2021 33530242
Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.

Assessing the causal tissues of human complex diseases is important for the prioritization of trait-...

Jan 2021 33300042
Deep learning for in vivo near-infrared imaging.

Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a ...

Jan 2021 33372162
Deep learning with transfer learning in pathology. Case study: classification of basal cell carcinoma.

Establishing basal cell carcinoma (BCC) subtype is sometimes challenging for pathologists. Deep-lear...

Jan 2021 35673821
Robot-Assisted Thyroidectomy Versus Open Thyroidectomy in the Treatment of Well Differentiated Thyroid Carcinoma.

BACKGROUND: The incidence of thyroid cancer has increased worldwide during the last decade, becoming...

Jan 2021 34354333
A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks.

Sperm identification and selection is an essential task when processing human testicular samples for...

Jan 2021 33106465
Detecting breast cancer using artificial intelligence: Convolutional neural network.

BACKGROUND: One of the most broadly founded approaches to envisage cancer treatment relies upon a pa...

Jan 2021 32444590
Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.

With rapid advances in experimental instruments and protocols, imaging and sequencing data are being...

Jan 2021 32804368
Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis.

The computed tomography (CT) pattern of definite or probable usual interstitial pneumonia (UIP) can...

Jan 2021 32857594
Machine Learning-Supported Analyses Improve Quantitative Histological Assessments of Amyloid-β Deposits and Activated Microglia.

BACKGROUND: Detailed pathology analysis and morphological quantification is tedious and prone to err...

Jan 2021 33337377
Multistain segmentation of renal histology: first steps toward artificial intelligence-augmented digital nephropathology.

Artificial intelligence (AI), and particularly deep learning (DL), are showing great potential in im...

Jan 2021 33390226
Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing...

Jan 2021 33448515
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