Latest AI and machine learning research in pathology for healthcare professionals.
Digital histopathology whole slide images (WSIs) provide gigapixel-scale high-resolution images that...
We present Singpath-VL, a vision-language large model, to fill the vacancy of AI assistant in cervic...
Stains are essential in histopathology to visualize specific tissue characteristics, with Haematoxyl...
Colorectal cancer (CRC) remains a significant cause of cancer-related mortality, despite the widespr...
Although vision foundation models (VFMs) are increasingly reused for biomedical image analysis, it r...
Accurate annotation of fixation type is a critical step in slide preparation for pathology laborator...
Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studi...
High-quality annotated datasets are crucial for advancing machine learning in medical image analysis...
Task-specific microscopy datasets are often too small to train deep learning models that learn robus...
Artificial intelligence (AI)-enabled diagnostics in maxillofacial pathology require structured, high...
Task-specific microscopy datasets are often too small to train deep learning models that learn robus...
Digitizing large histopathology archives requires processing millions of scanned whole slide images ...
Programmable A-to-I RNA editing using endogenous ADAR enzymes is emerging as a therapeutic strategy,...
We present ImmuVis, an efficient convolutional foundation model for imaging mass cytometry (IMC), a ...
Accurate risk stratification of precancerous polyps during routine colonoscopy screenings is essenti...
Whole-slide image (WSI) preprocessing, typically comprising tissue detection followed by patch extra...
High-fidelity registration of histopathological whole slide images (WSIs), such as hematoxylin & eos...
Immunohistochemistry (IHC) provides information on protein expression in tissue sections and is comm...
Automated spatial segmentation models can enrich spatio-molecular omics analyses by providing a link...
Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interp...
Significance: Quantitatively mapping both cerebral blood flow and tissue dynamics from laser speckle...