Pathology

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

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Mitosis detection and classification for breast cancer diagnosis: What we know and what is next.

Breast cancer is the second most deadly malignancy in women, behind lung cancer. Despite significant...

Jun 2025 40209577
The predictive power of profiling the DNA methylome in human health and disease.

Early and accurate diagnosis significantly improves the chances of disease survival. DNA methylation...

Jun 2025 40346834
Automated device for rapid sample cooling via controlled submersion.

An automated device is described which enables programmable submersion in liquid nitrogen to enable ...

Jun 2025 40349384
An immunohistochemistry-based classification of colorectal cancer resembling the consensus molecular subtypes using convolutional neural networks.

Colorectal cancer (CRC) represents a major global disease burden with nearly 1 million cancer-relate...

May 2025 40447758
Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...

May 2025 40450084
A DNA Methylation Classification Model Predicts Organ and Disease Site

Cell-free DNA (cfDNA) analysis is a powerful, minimally invasive tool for monitoring disease progr...

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset

Accurately predicting gene mutations, mutation subtypes and their exons in lung cancer is critical...

TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching

Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. Ho...

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models

With the widespread adoption of pathology foundation models in both research and clinical decision...

Deep learning in histopathology images for prediction of oncogenic driver molecular alterations in lung cancer: a systematic review and meta-analysis.

BACKGROUND: Lung cancer (LC) is the second most diagnosed cancer and the leading cause of cancer mor...

May 2025 40535093
Deep learning for fine-grained molecular-based colorectal cancer classification.

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies globally and a major caus...

May 2025 40530151
Deep learning based motion correction in ultrasound microvessel imaging approach improves thyroid nodule classification.

To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature ...

May 2025 40447670
Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images.

Mitochondria are central to cellular energy production and regulation, with their morphology tightly...

May 2025 40447684
Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization.

Breast cancer diagnosis remains a crucial challenge in medical research, necessitating accurate and ...

May 2025 40447726
Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning

Photoacoustic microscopy holds the potential to measure biomarkers' structural and functional stat...

Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population

This study presents a deep learning system for breast cancer detection in mammography, developed u...

Digital Forensic Investigation of the ChatGPT Windows Application

The ChatGPT Windows application offers better user interaction in the Windows operating system (OS...

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology

Gastrointestinal (GI) diseases represent a clinically significant burden, necessitating precise di...

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology

Gastrointestinal (GI) diseases represent a clinically significant burden, necessitating precise di...

GraftIQ: Hybrid multi-class neural network integrating clinical insight for multi-outcome prediction in liver transplant recipients.

Liver transplant recipients (LTRs) are at risk of graft injury, leading to cirrhosis and reduced sur...

May 2025 40436838
MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis

Recent vision-language foundation models deliver state-of-the-art results on natural image classif...

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