Latest AI and machine learning research in pathology for healthcare professionals.
Purpose To develop and evaluate a novel deep learning-based approach for registering presurgical MR ...
Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and a...
Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular ...
BACKGROUND & AIMS: Enhanced computed tomography (CT) is the primary method for focal liver lesion di...
BACKGROUND & AIMS: Intra and inter-pathologist variability poses a significant challenge in metaboli...
The diagnosis of early-stage mycosis fungoides (MF) is challenging owing to shared clinical and hist...
Analysing the genome, epigenome, transcriptome, proteome, and metabolome within the spatial context ...
BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in mi...
BACKGROUND: The Paris System (TPS) introduced standardized nuclear-to-cytoplasmic (N/C) ratio thresh...
Vision-language models (VLMs) have gained significant attention in computational pathology due to ...
As both computer vision models and biomedical datasets grow in size, there is an increasing need f...
Objective: A number of machine learning models have utilized semantic features, deep features, or ...
Cervical cancer remains a significant health challenge, with high incidence and mortality rates, p...
Goal: A limitation in robotic surgery is the lack of force feedback, due to challenges in suitable...
Rapidly determining structure-property correlations in materials is an important challenge in bett...
Purpose: The scarcity of high-quality curated labeled medical training data remains one of the maj...
Liver cirrhosis is an insidious condition involving the substitution of normal liver tissue with f...
In Computational Pathology (CPath), the introduction of Vision-Language Models (VLMs) has opened n...
Photon Absorption Remote Sensing (PARS) enables label-free imaging of subcellular morphology by ob...
Molecular Communication (MC) has long been envisioned to enable an Internet of Bio-Nano Things (Io...
Malignant gliomas (MGs), particularly glioblastoma, are among the most aggressive brain tumors, wi...