Pathology

Pancreatic tumor detection in computed tomography images through a rotary positional siamese vision transformer.

Vision Transformers (ViTs) are one of the powerful tools in medical imaging, providing new possibilities for pancreatic cancer diagnosis. In recent years, several studies have reported deep learning (DL) techniques to computed tomography (CT) images for pancreatic cancer diagnosis using ViT-based architectures. Existing methods often suffer from high computational complexity and there are limitati...

Micro S plit : semantic unmixing of fluorescent microscopy data.

Fluorescence microscopy is constrained by optical limits, fluorophore chemistry and finite photon budgets, imposing trade-offs between imaging speed, resolution and phototoxicity. Here we introduce Micro S plit , a deep learning-based computational multiplexing method that enables multiple cellular structures to be imaged simultaneously in a single fluorescent channel and then computationally unm...

Deep learning-assisted versus manual reading in routine cervical cytopathology: a multicentre randomised crossover trial.

Deep learning (DL) systems could improve diagnostic accuracy and efficiency in detecting cervical atypia, but their effectiveness remains insufficient...

Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.

BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortality rate worldwide. Despite recent advancements in...

Deep Learning-Driven Analysis and Quantification of Histopathologic Features in a Dextran Sulfate Sodium-Induced Colitis Mouse Model.

Dextran-based colitis models have been used extensively to study the pathophysiology of inflammatory bowel disease, including ulcerative colitis and C...

CypGEM: A Geometry-Aware and Edge-Enhanced Graph Transformer Model for Predicting Sites of Metabolism Mediated by Cytochromes P450.

Accurate prediction of a compound's site(s) of metabolism (SoMs) mediated by cytochromes P450 (CYP450) is advantageous in the early stage of drug disc...

MLN2SVG: domain-aware spatially variable gene detection using contrastive variational autoencoder and multi-level neighbor search.

Spatial transcriptomics (ST) technologies have transformed our ability to examine gene expression within intact tissues, yet accurately identifying sp...

Supervised Learning for Collagen Segmentation in Bright-Field Histology: A Comparative Evaluation of U-Net and MLP.

PURPOSE: Quantifying collagen in histological slides is essential for diagnosing and monitoring fibrosis. However, the combination of PicroSirius Red ...

The aging eye: navigating molecular mechanisms and innovative interventions.

The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies, imposing a formidable public health challenge th...

Noninvasive molecular subtyping of breast cancer using multimodal ultrasound spatiotemporal transformer.

Molecular subtyping is essential for guiding systemic therapy in breast cancer but currently requires invasive biopsy. Conventional B-mode ultrasound ...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during ...

CAD-SEL: A dual-modal colonoscopy dataset of subepithelial lesion.

Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of histology, ranging from benign to malignant. Their de...

Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.

BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unc...

AI and the digital pathology revolution: clinical applications in cancer diagnosis and assessment.

INTRODUCTION: Hematoxylin & Eosin (H&E) stained slides are the gold standard for cancer diagnosis but are subject to labor-intensive review and inter-...

Ultra-low-dose CT for malignant metastasis screening using a deep learning image reconstruction algorithm.

PURPOSE: To evaluate the feasibility and diagnostic performance of ultra-low-dose CT (ULD-CT) for screening malignant metastasis using super-resolutio...

Unsupervised single-domain generalization for tissue classification via progressive domain transformation.

Tissue classification is one of the fundamental tasks in computational pathology, but domain shifts in digital pathology images limit the generalizati...

Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review.

Accurately calculating the Ki-67 index, a critical biomarker for cellular proliferation, is pivotal in breast cancer (BC) treatment personalization. V...

From Genomic Instability to Epigenetic Signatures: The Evolving Landscape of Circulating Cell-free DNA in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health burden, yet its diagnosis and staging rely heavily...

Supervised contrastive learning for cell stage classification of animal embryos.

Video microscopy, when combined with machine learning, offers a promising approach for studying the early development of in vitro produced (IVP) embry...

Hybrid reverse knowledge distillation for adversarial example detection.

Deep neural networks have achieved remarkable success in various computer vision tasks, yet they remain vulnerable to adversarial examples-carefully c...