Pathology

Imputing single-cell protein abundance in multiplex tissue imaging.

Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limi...

Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.

In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently ...

Computer-aided diagnosis of colorectal polyps: assisted or autonomous?

Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small poly...

A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug ...

Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an ...

An Ultrasound Image-Based Deep Learning Radiomics Nomogram for Differentiating Between Benign and Malignant Indeterminate Cytology (Bethesda III) Thyroid Nodules: A Retrospective Study.

RATIONALE AND OBJECTIVES: Our objective is to develop and validate a deep learning radiomics nomogra...

Sub-phenotypes of pneumonia defined by pulmonary histopathological features.

Establishing sub-phenotypes of pneumonia based on distinct host processes will be a step towards usi...

Integrating Artificial Intelligence and Precision Therapeutics for Advancing the Diagnosis and Treatment of Age-Related Macular Degeneration.

Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex mol...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

CMImpute: cross-species and tissue imputation of species-level DNA methylation samples across mammalian species.

The large-scale application of the mammalian methylation array has substantially expanded the availa...

Histopathology-Based Prostate Cancer Classification Using ResNet: A Comprehensive Deep Learning Analysis.

Prostate cancer is the most prevalent solid tumor in males and one of the most common causes of male...

Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation.

BACKGROUND: Oral epithelial dysplasia (OED) is a potentially malignant histopathological diagnosis g...

Detection of maxillary sinus pathologies using deep learning algorithms.

PURPOSE: Deep learning, a subset of machine learning, is widely utilized in medical applications. Id...

Enhancing pathological myopia diagnosis: a bimodal artificial intelligence approach integrating fundus and optical coherence tomography imaging for precise atrophy, traction and neovascularisation grading.

BACKGROUND: Pathological myopia (PM) has emerged as a leading cause of global visual impairment, ear...

Improving Ovarian Cancer Subtyping with Computer Vision Models on Tiled Histopathological Images.

Ovarian cancer remains one of the most challenging cancers to diagnose due to its non-specific sympt...

Classification of non-small cell lung cancer by histologic subtype using deep learning in public and private data sets of computed tomography images.

OBJECTIVE: To develop a deep learning system to classify non-small cell lung cancer (NSCLC) by histo...

Editorial: Next-generation dental materials engineered for mineralized tissue reconstruction: advances, challenges and opportunities.

and are potentially important biomarkers for early diagnosis and treatment of esophageal squamous cell carcinoma: based on WGCNA and machine learning analysis.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) does not have distinct and highly sensitive bi...

Role of VATS-US in identifying and characterizing pulmonary nodules: a narrative review.

The aim of this study was to show the efficacy described in the scientific literature of lung ultras...

Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Toward Fully Automated Microscopy.

Since the dawn of scanning probe microscopy (SPM), tapping or intermittent contact mode has been one...

Study on Liver Sinusoidal Endothelial Cell Fenestrations Based on Cellular Omics-Structure Integration Technology and Its Application in Metabolic Diseases.

This study developed a new Cellular Omics-Structural Integration (COSI) technology platform to addre...