Latest AI and machine learning research in pathology for healthcare professionals.
Radiotherapy-induced normal tissue injury is a clinically important complication, and accurate segme...
Semantic segmentation of histopathology images under class imbalance is typically addressed through ...
Computer vision techniques have advanced significantly in recent years, finding diverse and impactfu...
The classification of pediatric brain tumors is investigated using deep learning on hematoxylin and ...
Accurate characterization of suspicious breast lesions in mammography is important for early diagnos...
Text-to-image (T2I) diffusion models have achieved remarkable success in image synthesis, but their ...
Deep learning models often achieve expert-level accuracy in medical image classification but suffer ...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
While medical Vision-Language models (VLMs) achieve strong performance on tasks such as tumor or org...
Digital breast tomosynthesis (DBT) is now the standard of care for breast cancer screening in the US...
The tumor microenvironment (TME) plays a central role in cancer progression, treatment response, and...
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the cl...
Purpose: Existing deep learning-based MRI artifact correction models exhibit poor clinical generaliz...
Instance segmentation enables the analysis of spatial and temporal properties of cells in microscopy...
Spatial transcriptomics provides a molecularly rich description of tissue organization, enabling uns...
Semi-supervised semantic segmentation in computational pathology remains challenging due to scarce p...
Labelling tissue components in histology whole slide images (WSIs) is prohibitively labour-intensive...
In this study, we proposed a deep Swin-Vision Transformer-based transfer learning architecture for r...
In computational cytology, detecting malignancy on whole-slide images is difficult because malignant...
Pathology foundation models (FMs) have become central to computational histopathology, offering stro...
Highly multiplexed microscopy enables rich spatial characterization of tissues at single-cell resolu...