Pathology

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

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An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images

We developed a generative patch based 3D image registration model that can register very high reso...

The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection

Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and acc...

Scattering approach to diffusion quantifies axonal damage in brain injury

Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusiv...

Current Pathology Foundation Models are unrobust to Medical Center Differences

Pathology Foundation Models (FMs) hold great promise for healthcare. Before they can be used in cl...

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis

Bone metastasis analysis is a significant challenge in pathology and plays a critical role in dete...

Molecular-driven Foundation Model for Oncologic Pathology

Foundation models are reshaping computational pathology by enabling transfer learning, where model...

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks

Computational pathology foundation models (CPathFMs) have emerged as a powerful approach for analy...

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images

Spatial Transcriptomics (ST) allows a high-resolution measurement of RNA sequence abundance by sys...

Efficient Self-Supervised Grading of Prostate Cancer Pathology

Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for ...

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals

Protein-based therapeutics play a pivotal role in modern medicine targeting various diseases. Desp...

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles

Histopathology, particularly hematoxylin and eosin (H\&E) staining, plays a critical role in diagn...

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI

Chronic rhinosinusitis (CRS) is a common and persistent sinus imflammation that affects 5 - 12\% o...

Enhancing Medical Image Analysis through Geometric and Photometric transformations

Medical image analysis suffers from a lack of labeled data due to several challenges including pat...

A topology optimisation framework to design test specimens for one-shot identification or discovery of material models

The increasing availability of full-field displacement data from imaging techniques in experimenta...

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET

Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essentia...

Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops

Prostate cancer (PCa) detection using deep learning (DL) models has shown potential for enhancing ...

Early Detection and Classification of Breast Cancer Using Deep Learning Techniques

Breast cancer is one of the deadliest cancers causing about massive number of patients to die annu...

FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features

Breast cancer is one of the most common cancers among women globally, with early diagnosis and pre...

Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics

Intracranial aneurysm (IA) is a common cerebrovascular disease that is usually asymptomatic but ma...

Image-to-Force Estimation for Soft Tissue Interaction in Robotic-Assisted Surgery Using Structured Light

For Minimally Invasive Surgical (MIS) robots, accurate haptic interaction force feedback is essent...

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