Pathology

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

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FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification

Lithology discrimination is a crucial activity in characterizing oil reservoirs, and processing li...

Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis

The tumor microenvironment (TME) plays a crucial role in cancer progression and treatment response...

Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans

Accurate quantification of the extent of lung pathological patterns (fibrosis, ground-glass opacit...

Hybrid deep convolution model for lung cancer detection with transfer learning

Advances in healthcare research have significantly enhanced our understanding of disease mechanism...

From Images to Detection: Machine Learning for Blood Pattern Classification

Bloodstain Pattern Analysis (BPA) helps us understand how bloodstains form, with a focus on their ...

Signal Recovery Using a Spiked Mixture Model

We introduce the spiked mixture model (SMM) to address the problem of estimating a set of signals ...

Laparoscopic Scene Analysis for Intraoperative Visualisation of Gamma Probe Signals in Minimally Invasive Cancer Surgery

Cancer remains a significant health challenge worldwide, with a new diagnosis occurring every two ...

Marker-independent imaging reveals a correlation of fibrotic and epigenetic alterations in endometriosis

Endometriosis describes the presence of endometrial glands outside of the uterus and can cause vario...

Physics-Informed Generative Model for 3D Localization Microscopy

Localization microscopy techniques have overcome the diffraction limit, enabling nanoscale biologica...

Development of convolutional neural networks for automated brain-wide histopathological analysis in mouse models of synucleinopathies

Preclinical animal models are indispensable for uncovering disease mechanisms and developing novel t...

Neural xenografts contribute to long-term recovery in stroke via molecular graft-host crosstalk

Stroke is a leading cause of disability and death due to the brain’s limited ability to regenerate d...

Automated Registration and Clustering for Enhanced Localization Atomic Force Microscopy of Flexible Membrane Proteins

Atomic Force Microscopy (AFM) can create images of biomolecules under near-native conditions but suf...

ADSI-MIMO: Adaptive stain imputation with multi-input and multi-output learning for multiplex immunofluorescence imaging

Multiplex immunofluorescence (mIF) imaging plays a crucial role in studying multiple biomarkers and ...

MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy

Fluorescent microscopy imaging is vital to capturing single-cell spatial data, characterizing tissue...

Self-supervised learning enables unbiased patient characterization from multiplexed cancer tissue microscopy images

Multiplexed immunofluorescence microscopy offers detailed insights into the spatial architecture of ...

DGAT: A Dual-Graph Attention Network for Inferring Spatial Protein Landscapes from Transcriptomics

Spatial transcriptomics (ST) technologies provide genome-wide mRNA profiles in tissue context but la...

Simulation-Based Inference at the Theoretical Limit: Fast, Accurate Microstructural MRI with Minimal diffusion MRI Data

Diffusion-weighted magnetic resonance imaging (dMRI) is an essential tool in neuro-science, providin...

Cell-free DNA fragmentomic characteristics in transposon elements inform molecular regulators and enhance cancer diagnosis

Fragmentomics of plasma cell-free DNA (cfDNA) are emerging diagnostic biomarkers in cancer liquid bi...

RNA liquid biopsy via nanopore sequencing for novel biomarker discovery and cancer early detection

Liquid biopsies detect disease noninvasively by profiling cell-free nucleic acids that are secreted ...

Mapping and reprogramming human tissue microenvironments with MintFlow

Tissue microenvironments reprogram local cellular states in disease, yet current computational spati...

ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy

Tracking individual neurons in dense 3D microscopy recordings of fast-moving, deforming organisms is...

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