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An automated method for segmentation and quantification of blood vessels in histology images

https://doi.org/10.1016/j.mvr.2019.103928

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An automatic algorithm for the segmentation and morphological analysis of microvessels in immunostained histological tumour sections

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Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks

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Cerebral blood flow in Alzheimer’s disease

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A digital pathology tool for quantification of color features in histologic specimens

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Multi-task Semi-supervised Learning for Vascular Network Segmentation and Renal Cell Carcinoma Classification

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A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images

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Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology

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Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD

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