Pathology

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

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CREATE-FFPE: Cross-Resolution Compensated and Multi-Frequency Enhanced FS-to-FFPE Stain Transfer for Intraoperative IHC Images

In the immunohistochemical (IHC) analysis during surgery, frozen-section (FS) images are used to d...

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention

Histopathology and transcriptomics are fundamental modalities in oncology, encapsulating the morph...

Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-staine...

Mar 2025 39724530
Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI.

Purpose To evaluate the performance of Physics-Informed Autoencoder (PIA), a self-supervised deep le...

Mar 2025 39907585
Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning.

Breast cancer affects millions globally, necessitating precise biomarker testing for effective treat...

Mar 2025 40050230
Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study.

OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; how...

Mar 2025 40052528
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study.

Background Although artificial intelligence is actively being developed for prostate MRI, few studie...

Mar 2025 40067105
Redefining spectral unmixing for in-vivo brain tissue analysis from hyperspectral imaging

In this paper, we propose a methodology for extracting molecular tumor biomarkers from hyperspectr...

Microscopic Propagator Imaging (MPI) with Diffusion MRI

We propose Microscopic Propagator Imaging (MPI) as a novel method to retrieve the indices of the m...

"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images

Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diag...

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?

The emergence of foundation models in computational pathology has transformed histopathological im...

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Label-free chemical imaging holds significant promise for improving digital pathology workflows. H...

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability

Deep neural networks trained using gradient descent with a fixed learning rate $\eta$ often operat...

Adaptive H&E-IHC information fusion staining framework based on feature extra

Immunohistochemistry (IHC) staining plays a significant role in the evaluation of diseases such as...

From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review

Whole slide image (WSI) registration is an essential task for analysing the tumour microenvironmen...

VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention

Medical image segmentation is crucial for clinical diagnosis and treatment planning, especially wh...

3D Anatomical Structure-guided Deep Learning for Accurate Diffusion Microstructure Imaging

Diffusion magnetic resonance imaging (dMRI) is a crucial non-invasive technique for exploring the ...

AI-driven 3D Spatial Transcriptomics

A comprehensive three-dimensional (3D) map of tissue architecture and gene expression is crucial f...

Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse

Detecting phishing, spam, fake accounts, data scraping, and other malicious activity in online soc...

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