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Showing 7393-7413 of 10,298 articles

Predicting lymph node recurrence in cT1-2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists.

Researchers have attempted to identify the factors involved in lymph node recurrence in cT1-2N0 tong...

Sep 2024 39159053

From organs to algorithms: Redefining cancer classification in the age of artificial intelligence.

Traditional cancer classification based on organ of origin and histology is increasingly at odds wit...

Sep 2024 39206604

Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs.

MOTIVATION: Spatial transcriptomics technologies, which generate a spatial map of gene activity, can...

Sep 2024 39230702

DIC2Abaqus: Calculating mixed-mode stress intensity factors from 2D and 3D-stereo displacement fields

Integrating experimental data into simulations is crucial for predicting material behaviour, espec...

Aug 2024 http://arxiv.org/abs/2409.08285v2

[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].

The morphological examination of blood cells under manual microscopes is a classic method, but the o...

Aug 2024 39168838

Interpretable breast cancer classification using CNNs on mammographic images

Deep learning models have achieved promising results in breast cancer classification, yet their 'b...

Aug 2024 http://arxiv.org/abs/2408.13154v1

Patient-led skin cancer teledermatology without dermoscopy during the COVID-19 pandemic: important lessons for the development of future patient-facing teledermatology and artificial intelligence-assisted -self-diagnosis.

MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of pati...

Aug 2024 38589979

Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening.

In light of the global increase in breast cancer cases and the crucial importance of the density of ...

Aug 2024 39176577

Explaining Deep Learning Models Applied in Histopathology: Current Developments and the Path to Sustainability.

The digital pathology landscape is in continuous expansion. The digitalization of slides using WSIs ...

Aug 2024 39176960

Machine learning-based analysis identifies and validates serum exosomal proteomic signatures for the diagnosis of colorectal cancer.

The potential of serum extracellular vesicles (EVs) as non-invasive biomarkers for diagnosing colore...

Aug 2024 39168094

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images

Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typica...

Aug 2024 http://arxiv.org/abs/2408.09554v2

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading

Recently, multimodal deep learning, which integrates histopathology slides and molecular biomarker...

Aug 2024 http://arxiv.org/abs/2408.08527v1

Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework

Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical...

Aug 2024 http://arxiv.org/abs/2408.08376v2

Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index

The study presents a novel approach for quantifying cellular interactions in digital pathology usi...

Aug 2024 http://arxiv.org/abs/2408.16008v2

Physics-informed graph neural networks for flow field estimation in carotid arteries

Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as a...

Aug 2024 http://arxiv.org/abs/2408.07110v1

Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response.

HYPOTHESIS: Here, we aim to 1) expand the available evidence for the use of machine learning techniq...

Aug 2024 38995722

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Breast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cell...

Aug 2024 39098994

[Diagnostic Value of Micropure Imaging Combined with Strain Elastography in Correcting Artificial Intelligence S-Detect Technology for Benign and Malignant Breast Complex Cystic and Solid Masses].

OBJECTIVE: To explore the diagnostic value of micropure imaging (MI) combined with strain elastograp...

Jul 2024 39155257

Browse Categories

Predicting lymph node recurrence in cT1-2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists.

From organs to algorithms: Redefining cancer classification in the age of artificial intelligence.

Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs.

DIC2Abaqus: Calculating mixed-mode stress intensity factors from 2D and 3D-stereo displacement fields

[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].

Interpretable breast cancer classification using CNNs on mammographic images

Patient-led skin cancer teledermatology without dermoscopy during the COVID-19 pandemic: important lessons for the development of future patient-facing teledermatology and artificial intelligence-assisted -self-diagnosis.

Deep Learning Based Automatic Fibroglandular Tissue Segmentation in Breast Magnetic Resonance Imaging Screening.

Explaining Deep Learning Models Applied in Histopathology: Current Developments and the Path to Sustainability.

Machine learning-based analysis identifies and validates serum exosomal proteomic signatures for the diagnosis of colorectal cancer.

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading

Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework

Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index

Physics-informed graph neural networks for flow field estimation in carotid arteries

Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response.

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Pathology Foundation Models

TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying

[Diagnostic Value of Micropure Imaging Combined with Strain Elastography in Correcting Artificial Intelligence S-Detect Technology for Benign and Malignant Breast Complex Cystic and Solid Masses].

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