Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis,
prognosis, treatment response, and personalized medicine. They serve as objective …

Following its success in early detection of cerebral ischemia, diffusion‐weighted imaging
(DWI) has been increasingly used in cancer diagnosis and treatment evaluation. These …

Background: Deep learning (DL) is a representation learning approach ideally suited for
image analysis challenges in digital pathology (DP). The variety of image analysis tasks in …

Blood-based biomarkers for screening may guide tau positrion emissition tomography (PET)
scan referrals to optimize prognostic evaluation in Alzheimer's disease. Plasma Aβ42/Aβ40 …

Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is
the standard method for grading of prostate cancer (PCa). However, this process is time …

Obesity favours the occurrence of locally disseminated prostate cancer in the periprostatic
adipose tissue (PPAT) surrounding the prostate gland. Here we show that adipocytes from …

The Gleason grading system for prostate adenocarcinoma has evolved from its original
scheme established in the 1960s–1970s, to a significantly modified system after two major …

Approaches and techniques used for diagnostic prostate biopsy have undergone
considerable evolution over the past few decades: from the original finger-guided …

In this paper, we present a stochastic model for glandular structures in histology images of
tissue slides stained with Hematoxylin and Eosin, choosing colon tissue as an example. The …

The advent of whole-slide imaging in digital pathology has brought about the advancement
of computer-aided examination of tissue via digital image analysis. Digitized slides can now …