Pathology

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

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Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology

Background: Cancer research emphasises early detection, yet quantitative methods for analysing norma...

Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer

Unsupervised deep image prior (DIP) addresses shortcomings of training data requirements and limited...

Conditional Random Fields for Interactive Refinement of Histopathological Predictions

Assisting pathologists in the analysis of histopathological images has high clinical value, as it su...

Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset

Recently, computer-aided diagnosis systems have been developed to support diagnosis, but their perfo...

Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images

Separating the contributions of individual chromogenic stains in RGB histology whole slide images (W...

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype

Glioblastoma, IDH-wildtype (GBM-IDHwt) is the most common malignant brain tumor. Histomorphology is ...

MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization

Achieving robust generalization under distribution shift remains a central challenge in conditional ...

Transformer-based EEG Source Imaging Enables Robust Localization of Pathological High-Frequency Oscillations in Epilepsy

ObjectiveHigh-frequency oscillations (HFOs) are highly specific biomarkers of epileptogenic tissue, ...

Multi-Temporal Frames Projection for Dynamic Processes Fusion in Fluorescence Microscopy

Fluorescence microscopy is widely employed for the analysis of living biological samples; however, t...

Mass spectrometry and machine learning for classification and molecular phenotyping of renal cell carcinoma and benign tumors

Pathology classification of cancer tumor subtypes and benign tumors can be difficult due to cellular...

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogram

BackgroundAtrial cardiomyopathy (AtCM) is both a cause and a consequence of atrial fibrillation and ...

MorphoLearn: A morphology-driven workflow to decipher 3D electron microscopy segmentation in diatoms

Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...

Histological aging signatures enable tissue-specific disease prediction from blood

Aging, the leading risk factor for numerous diseases, manifests through diverse structural and archi...

POWDR: Pathology-preserving Outpainting with Wavelet Diffusion for 3D MRI

Medical imaging datasets often suffer from class imbalance and limited availability of pathology-ric...

Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis

Vision Transformers (ViTs) have gained rapid adoption in computational pathology for their ability t...

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL

General-purpose Large Vision-Language Models (LVLMs), despite their massive scale, often falter in d...

Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification

Osteosarcoma (OS) is an aggressive primary bone malignancy. Accurate histopathological assessment of...

DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue

In optoacoustic imaging, recovering the absorption coefficients of tissue by inverting the light tra...

A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements

Despite the ecological significance of invertebrates, global trait databases remain heavily biased t...

Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.

Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine l...

Dec 2025 40444796
Innovative application of confocal Raman spectroscopy and Machine learning in cardiovascular diseases identification.

Myocardial hypertrophy and heart failure are leading causes of mortality in cardiovascular diseases,...

Nov 2025 40347774
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