Pathology

Innovative construction and application of bile duct organoids: Unraveling the complexity of bile duct diseases and potential therapeutic strategies.

The biliary system is crucial for liver function, regulating bile production, secretion, and transpo...

Enhancing pancreatic cancer diagnostics: Ensemble-based model for automated urine biomarker classification.

This research addresses the critical challenge of early detection in pancreatic ductal adenocarcinom...

Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images.

Accessory ostium [AO] is one of the important anatomical variations in the maxillary sinus. AO is of...

Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

. Metal artifacts severely damaged human tissue information from the computed tomography (CT) image,...

The accuracy of artificial intelligence in the diagnosis of soft tissue sarcoma: A systematic review and meta-analysis.

Harnessing Artificial Intelligence for Precision Diagnosis and Treatment of Triple Negative Breast Cancer.

Triple-Negative Breast Cancer (TNBC) is a highly aggressive subtype of breast cancer (BC) characteri...

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite ad...

Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3-5 classification.

BACKGROUND: Thyroid nodules classified within the Thyroid Imaging Reporting and Data Systems (TI-RAD...

Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.

Self-supervised learning (SSL) automates the extraction and interpretation of histopathology feature...

Terahertz molecular vibrational sensing using 3D printed anapole meta-biosensor.

Terahertz (THz) fingerprint sensing utilizes the absorption of fingerprints generated by the unique ...

Development of disease diagnosis technology based on coattention cross-fusion of multiomics data.

BACKGROUND: Early diagnosis is vital for increasing the rates of curing diseases and patient surviva...

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer.

Understanding the prognosis of cancer patients is crucial for enabling precise diagnosis and treatme...

Advanced pathological subtype classification of thyroid cancer using efficientNetB0.

BACKGROUND: Thyroid cancer is a prevalent malignancy requiring accurate subtype identification for e...

Yi-qi-yang-yin decoction ameliorates diabetic retinopathy: New and comprehensive evidence from network pharmacology, machine learning, molecular docking and molecular biology experiment.

Yi-Qi-Yang-Yin Decoction (YQYY), a traditional Chinese medicine (TCM) formula, has been used to trea...

Tuberculosis of the central nervous system: current concepts in diagnosis and treatment.

PURPOSE OF REVIEW: The outcome of central nervous system (CNS) tuberculosis has shown little improve...

A comprehensive approach to anticipating the progression of mild cognitive impairment.

The immersive experience provided by our approach empowers researchers with an intuitive exploration...

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection.

Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of ...

Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach.

Breast cancer (BC) remains a predominant and deadly cancer in women worldwide. By 2040, projections ...

Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images.

Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occur...

Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images.

Prostate cancer screening often relies on cost-intensive MRIs and invasive needle biopsies. Transrec...

A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST).

Medical image segmentation is important for quantitative disease diagnosis and treatment but relies ...