Pathology

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

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Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules

BACKGROUND: Radiomics provides quantitative features of pulmonary nodules (PNs) which could aid lu...

From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer

It is clinically crucial and potentially very beneficial to be able to analyze and model directly ...

A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Voice

Cases of laryngeal cancer are predicted to rise significantly in the coming years. Current diagnos...

Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision

Histopathology, the microscopic examination of tissue samples, is essential for disease diagnosis ...

SurgSora: Decoupled RGBD-Flow Diffusion Model for Controllable Surgical Video Generation

Medical video generation has transformative potential for enhancing surgical understanding and pat...

Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization

The mesoscopic level serves as a bridge between the macroscopic and microscopic worlds, addressing...

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes

Molecular subtyping of cancer is recognized as a critical and challenging upstream task for person...

Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography

Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, tre...

Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion

Virtual staining leverages computer-aided techniques to transfer the style of histochemically stai...

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound

Prostate cancer is a leading cause of cancer-related deaths among men. The recent development of h...

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis

Pathology images are considered the ``gold standard" for cancer diagnosis and treatment, with giga...

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics

The detection of anomalous tissue regions (ATRs) within affected tissues is crucial in clinical di...

Upstream flow geometries can be uniquely learnt from single-point turbulence signatures

We test the hypothesis that the microscopic temporal structure of near-field turbulence downstream...

Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning

Significant disparities between the features of natural images and those inherent to histopatholog...

Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset

With increasing revelations of academic fraud, detecting forged experimental images in the biomedi...

FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising

Fluorescence microscopy image (FMI) denoising faces critical challenges due to the compound mixed ...

V2Sim: An Open-Source Microscopic V2G Simulation Platform in Urban Power and Transportation Network

This paper proposes V2Sim, an open source Pythonbased simulation platform designed for advanced ve...

waveOrder: generalist framework for label-agnostic computational microscopy

Correlative computational microscopy is accelerating the mapping of dynamic biological systems by ...

Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI

Normalizing flow-based variational inference (flow VI) is a promising approximate inference approa...

A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI.

The hippocampus is a small, yet intricate seahorse-shaped tiny structure located deep within the bra...

Dec 2024 39807055
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