The development of digital pathology and progression of state‐of‐the‐art algorithms for
computer vision have led to increasing interest in the use of artificial intelligence (AI) …

Nowadays, digital pathology plays a major role in the diagnosis and prognosis of tumours.
Unfortunately, existing methods remain limited when faced with the high resolution and size …

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Deep learning (DL) has achieved state-of-the-art performance in many digital pathology
analysis tasks. Traditional methods usually require hand-crafted domain-specific features …

Abstract Machine-assisted pathological recognition has been focused on supervised
learning (SL) that suffers from a significant annotation bottleneck. We propose a semi …

Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …

Fast and simultaneous identification of multiple viable pathogens on food is critical to public
health. Here we report a pathogen identification system using a paper chromogenic array …

Maximal resection of tumor while preserving the adjacent healthy tissue is particularly
important for larynx surgery, hence precise and rapid intraoperative histology of laryngeal …

Introduction The number of glomeruli and glomerulosclerosis evaluated on kidney biopsy
slides constitute standard components of a renal pathology report. Prevailing methods for …