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 316-336 of 11,187 articles
Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence.

Determining mixed mode fracture parameters asphalt concrete mixtures remains an engineering challeng...

Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Breast cancer is the second leading cause of cancer-related deaths among women, following lung cance...

A hybrid XAI-driven deep learning framework for robust GI tract disease diagnosis.

The stomach is one of the main digestive organs in the GIT, essential for digestion and nutrient abs...

A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images.

Cervical cancer is a major cause of mortality among women, particularly in low-income countries with...

Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy.

Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially r...

Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization.

Cutaneous melanoma is one of the most lethal forms of skin cancer, and its incidence is increasing g...

Deep learning quantifies pathologists' visual patterns for whole slide image diagnosis.

Based on the expertise of pathologists, the pixelwise manual annotation has provided substantial sup...

Deep learning of structural morphology imaged by scanning X-ray diffraction microscopy.

Scanning X-ray nanodiffraction microscopy is a powerful technique for spatially resolving nanoscale ...

Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acu...

Identification of CXCR4 as a potential preventive gene in clear cell renal cell carcinoma from machine learning and immune analysis.

Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant kidney tumor characterized ...

Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer.

Reconstructive flap surgery aims to restore the substance and function losses associated with tumor ...

Shared gene signatures and molecular mechanisms link ankylosing spondylitis and rheumatoid arthritis.

Ankylosing spondylitis (AS) and rheumatoid arthritis (RA) are closely related autoimmune diseases wi...

Development and multicenter validation of on-site breast cancer diagnosis using paper spray ionization miniature mass spectrometry.

BACKGROUND: Conventional histopathological examination for breast core needle biopsy diagnosis is ti...

Closed circuit artificial ıntelligence model named morgaf for childhood onset systemic lupus erythematosus diagnosis.

Systemic Lupus Erythematosus (SLE) is a chronic, autoimmune disease characterized by multiple organ ...

Enhancing chronic wound assessment through agreement analysis and tissue segmentation.

Accurate monitoring of chronic wound progression is crucial for assessing healing dynamics. However,...

Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings.

Rolling bearings play a significant role in rotating machinery. Due to the failure of these componen...

Bearing fault diagnosis based on cross image multi-attention mechanism.

Bearings are crucial components of rotating machinery, and fault diagnosis is essential for ensuring...

Fabrication of serum-based SERS-tailored 3D structures for thyroid cancer diagnosis.

Early detection of thyroid cancer improves patient survival rate from 51.9% to 99.9%. Fine needle as...

An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images.

Ovarian Cancer is a malignancy that develops from ovarian cells and is frequently characterized by a...

Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.

Infertility is a global issue, and approximately 50% of cases are due to male factors, with defectiv...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a...

Browse Specialties