Pathology

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

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Unsupervised Non-Rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features With Iterative Training.

Histological image registration is a fundamental task in histological image analysis. It is challeng...

Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification.

In computational pathology, graphs have shown to be promising for pathology image analysis. There ex...

HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration.

Digital pathology is now a standard component of the pathology workflow, offering numerous benefits ...

Deep learning-enabled filter-free fluorescence microscope.

Optical filtering is an indispensable part of fluorescence microscopy for selectively highlighting m...

[A national survey from the French Society of Pathology on research and application of artificial intelligence in pathology].

The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its prior...

Machine learning identifies remodeling patterns in human lung extracellular matrix.

Organ function depends on the three-dimensional integrity of the extracellular matrix (ECM). The str...

Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.

Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracra...

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.

OBJECTIVE: Recognizing glomerular lesions is essential in diagnosing chronic kidney disease. However...

Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria.

The gold standard diagnosis for malaria is the microscopic visualization of blood smears to identify...

Digital pathology: Revolutionizing oral and maxillofacial diagnostics.

Digital pathology (DP) has revolutionized oral and maxillofacial pathology (OMP) by enhancing diagno...

Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence.

Breast cancer is a common malignant tumor of women. Ki67 is an important biomarker of cell prolifera...

LC-MS profiling and cytotoxic activity of Angiopteris helferiana against HepG2 cell line: Molecular insight to investigate anticancer agent.

Liver cancer is one of the most prevalent malignant diseases in humans and the second leading cause ...

A novel artificial intelligence segmentation model for early diagnosis of bladder tumors.

OBJECTIVE: Despite cystoscopy plays an important role in bladder tumors diagnosis, it often falls sh...

Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping.

Deep learning methods have been widely used for various glioma predictions. However, they are usuall...

Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM.

Early detection of autism spectrum disorder (ASD) is particularly important given its insidious qual...

A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks.

Multiple sclerosis (MS) is a severe brain disease that permanently destroys brain cells, impacting v...

Analysis of diagnostic genes and molecular mechanisms of Crohn's disease and colon cancer based on machine learning algorithms.

Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as ...

Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.

Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However,...

Neuromorphic-enabled video-activated cell sorting.

Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions i...

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