Developing self-supervised learning (SSL) models that can learn universal and transferable
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …

Immunohistochemical (IHC) staining highlights the molecular information critical to
diagnostics in tissue samples. However, compared to H&E staining, IHC staining can be …

Understanding the spatial heterogeneity of tumours and its links to disease initiation and
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …

Recently virtual staining technology has greatly promoted the advancement of
histopathology. Despite the practical successes achieved the outstanding performance of …

In the field of plasma cell disorders diagnosis, the detection of abnormal monoclonal (M)
proteins through Immunofixation Electrophoresis (IFE) is a widely accepted practice …

Generating diverse plausible outputs from a single input is crucial for addressing visual
ambiguities, exemplified in medical imaging where experts may provide varying semantic …

Conventional hematoxylin-eosin (H&E) staining is limited to revealing cell morphology and
distribution, whereas immunohistochemical (IHC) staining provides precise and specific …

Whole-slide image (WSI) classification methods play a crucial role in tumor diagnosis. Most
of them use hematoxylin and eosin (H&E) stained images, while Immunohistochemistry …

Despite the advances in machine learning and digital pathology, it is not yet clear if machine
learning methods can accurately predict molecular information merely from …

In clinical practice, frozen section (FS) images can be utilized to obtain the immediate
pathological results of the patients in operation due to their fast production speed. However …