Latest Articles for Pathology

A new model improves lung cancer subtype classification using CT and pathological images.

A new method enhances tissue identification in biopsy slides by removing artefacts.

MuTILs improves the analysis of tumor-infiltrating lymphocytes in breast cancer tissues.

Study reveals ischemia time significantly affects cancer tissue biomolecule quality.

Using machine learning to enhance digital pathology for better disease diagnosis.

A new model improves feature extraction for whole slide images in healthcare.

A novel method enhances how models interpret tissue samples in cancer detection.

EndoNet automates H-score calculations for improved accuracy in tissue analysis.

New insights into cellular interactions reveal changes during colorectal cancer.

A new model enhances accuracy in kidney biopsy diagnoses using instance segmentation.

A novel method to analyze Whole Slide Images for better disease classification.

BoNuS automates nuclei segmentation using weak supervision, enhancing pathology image analysis.

A new method enhances nuclei analysis in medical images through unsupervised adaptation.

A new system helps pathologists improve accuracy in diagnosing breast and skin cancers.

New hybrid approach improves nuclei segmentation in histological images.

AI transforms how we diagnose and treat diseases in pathology.

New tool enhances understanding of cancer through integrated biological data.

New methods improve accuracy in kidney tissue diagnostics and treatment.

Innovative methods enhance detection of proteins in tissue samples for cancer diagnosis.

Research focuses on predicting disease markers from tissue images for better treatment.

Exploring the role of AI in enhancing digital pathology practices.

HIPI predicts protein levels from H&E images, aiding cancer diagnosis.

The Re-embedded Regional Transformer enhances cancer diagnosis through innovative feature re-embedding techniques.

AI systems improve diagnosis of H. pylori infections.

AttriMIL enhances tumor detection in whole-slide images through advanced scoring and constraints.

A new method enhances tissue image analysis for better diagnosis.

New approach enhances artifact detection in cancer diagnostics, improving accuracy and efficiency.

New imaging technology improves resolution and speed in pathology.

Doctors can make better decisions using majority voting with AI assistance in pathology.

A new method improves image analysis in digital pathology.

BEPH enhances cancer detection and survival prediction through innovative image analysis.

TRACE enhances drug safety evaluations by analyzing tissue samples with AI.

Foam cells impact various diseases through lipid accumulation and immune response.

Research reveals the role of immune cells in predicting oral cancer risk.

Honey reveals insights about plants and pathogens that affect honeybee health.

This method uses partial label information to improve tumor classification in medical images.

Discover how the ENS controls gut functions and its role in diseases.

A novel approach using Triple U-Net enhances nuclei segmentation in medical images.

Machine learning combines slide images and gene expression for improved disease understanding.

This study examines how whole-genome doubling influences cancer development and treatment.