Latest AI and machine learning research in pathology for healthcare professionals.
In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline wi...
In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline wi...
The complexities of healthcare data, including privacy concerns, imbalanced datasets, and interope...
Due to physiological changes during the perimenopausal period, the morphology of cervical cells unde...
Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross-se...
Multimodal learning has shown significant promise for improving medical image analysis by integrat...
Multimodal learning has shown significant promise for improving medical image analysis by integrat...
In histopathology, tissue sections are typically stained using common H&E staining or special stai...
Digital pathology is a tool of rapidly evolving importance within the discipline of pathology. Who...
The traditional techniques for extracting polycrystalline grain structures from microscopy images,...
Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces ...
Neuroblastoma, adrenal-derived, is among the most common pediatric solid malignancies, characteriz...
Cytology is essential for cancer diagnostics and screening due to its minimally invasive nature. H...
Recent studies have made significant progress in developing large language models (LLMs) in the me...
Digital pathology, augmented by artificial intelligence (AI), holds significant promise for improv...
Blood vessel networks in the brain play a crucial role in stroke research, where understanding the...
Foundation models in digital pathology use massive datasets to learn useful compact feature repres...
Purpose: Accurately classifying tissue margins during cancer surgeries is crucial for ensuring com...
Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a pr...
Accurate modeling of tool-tissue interactions in robotic surgery requires precise tracking of defo...
Accurate segmentation of abdominal adipose tissue, including subcutaneous (SAT) and visceral adipo...