Fig 5 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Content may be subject to copyright.
Representative images of renal pathological findings of adriamycin (ADR) mice. Control mice (A, C) and ADR mice (B, D) were examined. Normal glomerulus (C), hyaline casts and dilated tubules (B), as well as glomerulosclerosis (D, arrowhead) are presented. Scale bars represent 200 μm (A, B) or 50 μm (C, D).
Source publication
Background
In recent years, digital pathology has been rapidly developing and applied throughout the world. Especially in clinical settings, it has been utilized in a variety of situations, including automated cancer diagnosis. Conversely, in nonclinical research, it has not yet been utilized as much as in clinical settings. We have been performing...
Context in source publication
Context 1
... as the disruption of the filtration barrier of basement membrane, followed by the development of tubulointerstitial inflammation and fibrosis. 18 In ADR mice, tubular damage (including dilation), hyaline casts, cellular infiltration of the tubulointerstitium, and glomerular damage (including mesangial proliferation and sclerosis) were observed (Fig. ...
Similar publications
Pathologists diagnose prostate cancer by core needle biopsy. In low-grade and low-volume cases, they look for a few malignant glands out of hundreds within a core. They may miss a few malignant glands, resulting in repeat biopsies or missed therapeutic opportunities. This study developed a multi-resolution deep-learning pipeline to assist pathologi...
Traditionally, pathological analysis and diagnosis are performed by manually eyeballing glass-slide specimens under a microscope by an expert. The whole slide image (WSI) is the digital specimen produced from the glass slide. WSI enabled specimens to be observed on a computer screen and led to computational pathology where computer vision and artif...
In digital pathology, deep learning has been shown to have a wide range of applications, from cancer grading to segmenting structures like glomeruli. One of the main hurdles for digital pathology to be truly effective is the size of the dataset needed for generalization to address the spectrum of possible morphologies. Small datasets limit classifi...
Background
Large bowel biopsies are one of the commonest types of biopsy specimen. We describe a service evaluation study to test the feasibility of using artificial intelligence (AI) to triage large bowel biopsies from a reporting backlog and prioritize those that require more urgent reporting.
Methods
The pathway was developed in the UK by Natio...
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of characterization and reporting on resected biopsies, including polyps, the numbers of which are increasing as a result of CRC population screening programs ongoing in many countries all around the globe. Here, we present an approach to address two major cha...
