A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Pathology imaging informatics for quantitative analysis of whole-slide images
Objectives With the objective of bringing clinical decision support systems to reality, this
article reviews histopathological whole-slide imaging informatics methods, associated …
article reviews histopathological whole-slide imaging informatics methods, associated …
A generalized deep learning framework for whole-slide image segmentation and analysis
Histopathology tissue analysis is considered the gold standard in cancer diagnosis and
prognosis. Whole-slide imaging (WSI), ie, the scanning and digitization of entire histology …
prognosis. Whole-slide imaging (WSI), ie, the scanning and digitization of entire histology …
[HTML][HTML] Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association
F Aeffner, MD Zarella, N Buchbinder, MM Bui… - Journal of pathology …, 2019 - Elsevier
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 …
of computer-aided examination of tissue via digital image analysis. Digitized slides can now …
[HTML][HTML] Classification of melanocytic lesions in selected and whole-slide images via convolutional neural networks
Whole-slide images (WSIs) are a rich new source of biomedical imaging data. The use of
automated systems to classify and segment WSIs has recently come to forefront of the …
automated systems to classify and segment WSIs has recently come to forefront of the …
Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis
SC Kosaraju, J Hao, HM Koh, M Kang - Methods, 2020 - Elsevier
Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-
aided tissue examination using machine learning techniques, especially convolutional …
aided tissue examination using machine learning techniques, especially convolutional …
Whole-slide imaging: routine pathologic diagnosis
TC Cornish, RE Swapp, KJ Kaplan - Advances in anatomic …, 2012 - journals.lww.com
Digital pathology systems offer pathologists an alternate, emerging mechanism to manage
and interpret information. They offer increasingly fast and scalable hardware platforms for …
and interpret information. They offer increasingly fast and scalable hardware platforms for …
[HTML][HTML] Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Modern pathology diagnostics is being driven toward large scale digitization of microscopic
tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue …
tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue …
[HTML][HTML] Twenty years of digital pathology: an overview of the road travelled, what is on the horizon, and the emergence of vendor-neutral archives
Almost 20 years have passed since the commercial introduction of whole-slide imaging
(WSI) scanners. During this time, the creation of various WSI devices with the ability to …
(WSI) scanners. During this time, the creation of various WSI devices with the ability to …
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer …
Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in
digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the …
digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the …