[HTML][HTML] The impact of pre-and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
Recently, deep learning frameworks have rapidly become the main methodology for
analyzing medical images. Due to their powerful learning ability and advantages in dealing …
analyzing medical images. Due to their powerful learning ability and advantages in dealing …
[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review
Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis
of different types of cancer. The preparation and digitization of histological tissues leads to …
of different types of cancer. The preparation and digitization of histological tissues leads to …
A review: The detection of cancer cells in histopathology based on machine vision
W He, T Liu, Y Han, W Ming, J Du, Y Liu, Y Yang… - Computers in Biology …, 2022 - Elsevier
Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
[HTML][HTML] Unstained tissue imaging and virtual hematoxylin and eosin staining of histologic whole slide images
Tissue structures, phenotypes, and pathology are routinely investigated based on histology.
This includes chemically staining the transparent tissue sections to make them visible to the …
This includes chemically staining the transparent tissue sections to make them visible to the …
Covalent organic framework based nanoagent for enhanced mild-temperature photothermal therapy
Q Sun, K Tang, L Song, Y Li, W Pan, N Li… - Biomaterials Science, 2021 - pubs.rsc.org
Photothermal therapy effectively ablates tumors by hyperthermia (> 50° C) under laser
irradiation. However, the hyperthermia may inevitably diffuse to the surrounding healthy …
irradiation. However, the hyperthermia may inevitably diffuse to the surrounding healthy …
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization
High-quality whole slide scanners used for animal and human pathology scanning are
expensive and can produce massive datasets, which limits the access to and adoption of …
expensive and can produce massive datasets, which limits the access to and adoption of …
[HTML][HTML] Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification
Stain variation between images is a main issue in the analysis of histological images. These
color variations, produced by different staining protocols and scanners in each laboratory …
color variations, produced by different staining protocols and scanners in each laboratory …
DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation
The rapid and precise segmentation of cell nuclei from hematoxylin and eosin-stained tissue
images is an essential clinical undertaking with significant implications for various clinical …
images is an essential clinical undertaking with significant implications for various clinical …
A stain color normalization with robust dictionary learning for breast cancer histological images processing
Microscopic analyses of tissue samples are crucial for confirming the diagnosis of breast
cancer. The digitization of these samples has led to the development of computational …
cancer. The digitization of these samples has led to the development of computational …