Pathology

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

11,187 articles
Stay Ahead - Weekly Pathology research updates
Subscribe
Browse Specialties
Showing 1-21 of 11,187 articles
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management.

Oral potentially malignant disorder poses a significant risk of malignant transformation, particular...

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteris...

Dense breasts and women's health: which screenings are essential?

This review synthesizes current evidence regarding optimal breast cancer screening strategies for wo...

A two-step joint model based on deep learning realizes intelligent recognition of exfoliated cells in serous effusion.

Cytological examination of serous effusion is critical for diagnosing malignancies, yet it heavily r...

Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.

Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lym...

Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers.

This study aimed to investigate the potential of peptide mass fingerprints (PMFs) of the serum pepti...

Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours.

This study uses artificial intelligence (AI) for differentiation between salivary gland tumours (SGT...

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

AI-based identification of Chinese vascular plants from herbarium specimens: a tool for all herbaria with Chinese holdings.

Documenting the geographic ranges of the World's > 350 000 named species of vascular plants requires...

DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network.

Deep learning (DL) has emerged as a powerful tool for intelligent cyberattack detection, especially ...

Synthesized myelin and iron stainings from 7T multi-contrast MRI via deep learning.

Iron and myelin are key biomarkers for studying neurodegenerative and demyelinating brain diseases. ...

Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-driven XAI.

OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. T...

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities...

Multi-module UNet++ for colon cancer histopathological image segmentation.

In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...

Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles.

This dataset presents multiaxial vibration signals collected from a multirotor unmanned aerial vehic...

Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment.

INTRODUCTION: Glioblastoma (GBM) is the most malignant primary brain cancer, associated with a media...

Browse Specialties