Latest Articles for Pathology

New models improve tissue image quality for better disease diagnosis.

A new dataset enhances reticulin fiber assessment in bone marrow biopsies.

A new method enhances accuracy in analyzing medical tissue images.

Investigating how infected cells respond through different death mechanisms.

A novel pooling method enhances AI for better cancer detection.

A new method combines imaging and genomic data to study cancer behavior.

A new method improves synthetic data for tissue sample analysis.

This study presents a two-stage framework for generating data in medical research.

Developing a reliable AI model to improve prostate cancer diagnosis from biopsies.

Hematoxylin and eosin staining enhances immune cell evaluation in tumors.

A new framework improves WSI classification by incorporating spatial context.

NuLite streamlines cancer diagnosis with fast and efficient image segmentation.

A new method enhances tissue analysis using multiple stains and machine learning.

New model addresses feature collapse in digital pathology using stain normalization.

Snuffy offers a machine learning solution for accurate WSI analysis.

HistoGym aids cancer diagnosis by using AI to analyze tissue images.

A closer look at rare salivary gland tumours, their genetic factors, and treatment options.

Innovative approaches are enhancing cancer detection through whole slide image analysis.

Discover how AI is transforming diagnosis in computational pathology using foundation and vision-language models.

A novel approach enhances TLS identification using simpler staining techniques.

Histo-Diffusion improves high-resolution imaging for accurate disease diagnosis.

A new method improves cancer tissue classification using vision-language models.

MoPaDi creates counterfactual images to aid cancer diagnostics.

Researchers develop methods to standardize blood cell images for better diagnoses.

A new approach enhances digital pathology while ensuring patient privacy.

Study shows staining variations hinder deep neural networks in cancer prediction.

Exploring the role of tumor budding in predicting colorectal cancer outcomes.

AMD-MIL improves tissue analysis for faster and more accurate disease diagnosis.

Research reveals how cell interactions impact colorectal cancer outcomes.

This article reviews the reliability of MIL models in clinical applications.

Investigation of dataset issues impacting tissue image classification accuracy.

An automated model enhances the creation of multi-organ pathology reports.

New findings highlight the role of PrP in prion diseases and potential treatment strategies.

A novel AI approach improves adenocarcinoma diagnosis across different imaging conditions.

FAST improves disease classification using whole slide images with minimal expert input.

Research explores AI methods to improve Gleason grading accuracy in prostate cancer.

Study shows AI tools excel in answering pathology questions compared to human trainees.

HistoROI enhances tissue classification in medical diagnostics using whole slide images.

Batch effects complicate deep learning's role in histopathology, affecting disease analysis.

Investigating the invasion process of Toxoplasma gondii and its effects on host cells.