Pathology

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

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Deformable Registration Framework for Augmented Reality-based Surgical Guidance in Head and Neck Tumor Resection

Head and neck squamous cell carcinoma (HNSCC) has one of the highest rates of recurrence cases amo...

AI-driven control of bioelectric signalling for real-time topological reorganization of cells

Understanding and manipulating bioelectric signaling could present a new wave of progress in devel...

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images

In Recent Years, Digital Technologies Have Made Significant Strides In Augmenting-Human-Health, Co...

[Diagnostic performance evaluation of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination].

To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in ce...

Mar 2025 40113403
LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening

The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide...

Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification

Deep learning has demonstrated great promise in cancer classification from whole-slide images (WSI...

Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model

This study presents a 3D flow-matching model designed to predict the progression of the frozen reg...

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...

Parameter estimation in fluid flow models from undersampled frequency space data

4D Flow MRI is the state of the art technique for measuring blood flow, and it provides valuable i...

Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning

Histopathology image analysis is fundamental to digital pathology, with hematoxylin and eosin (H&E...

Self-Supervised Z-Slice Augmentation for 3D Bio-Imaging via Knowledge Distillation

Three-dimensional biological microscopy has significantly advanced our understanding of complex bi...

Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells

Circulating tumor cells (CTCs) are crucial biomarkers in liquid biopsy, offering a noninvasive too...

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images

Nucleus detection in histopathology whole slide images (WSIs) is crucial for a broad spectrum of c...

Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data

Molecular subtyping of breast cancer is crucial for personalized treatment and prognosis. Traditio...

Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries

Minimally invasive procedures have been advanced rapidly by the robotic laparoscopic surgery. The ...

Deep learning-driven survival prediction in pan-cancer studies by integrating multimodal histology-genomic data.

Accurate cancer prognosis is essential for personalized clinical management, guiding treatment strat...

Mar 2025 40116660
Spatial Transcriptomics Analysis of Spatially Dense Gene Expression Prediction

Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering...

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Malignant lymphoma subtype classification directly impacts treatment strategies and patient outcom...

Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology

Foundation Models (FMs) in computational pathology (CPath) have significantly advanced the extract...

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