[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 …
Nuclear morphologies: their diversity and functional relevance
BM Skinner, EEP Johnson - Chromosoma, 2017 - Springer
Studies of chromosome and genome biology often focus on condensed chromatin in the
form of chromosomes and neglect the non-dividing cells. Even when interphase nuclei are …
form of chromosomes and neglect the non-dividing cells. Even when interphase nuclei are …
[HTML][HTML] Introduction to digital pathology and computer-aided pathology
Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for
many pathologists to understand the engineering and mathematics concepts involved in DP …
many pathologists to understand the engineering and mathematics concepts involved in DP …
Machine learning methods for histopathological image analysis: A review
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images
Background Since nuclei segmentation in histopathology images can provide key
information for identifying the presence or stage of a disease, the images need to be …
information for identifying the presence or stage of a disease, the images need to be …
Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association
Automated analysis of whole mount tissue sections can provide insights into tumor subtypes
and the underlying molecular basis of neoplasm. However, since tumor sections are …
and the underlying molecular basis of neoplasm. However, since tumor sections are …
Dual-channel active contour model for megakaryocytic cell segmentation in bone marrow trephine histology images
Assessment of morphological features of megakaryocytes (MKs)(special kind of cells) in
bone marrow trephine biopsies play an important role in the classification of different …
bone marrow trephine biopsies play an important role in the classification of different …
An alternative reference space for H&E color normalization
Digital imaging of H&E stained slides has enabled the application of image processing to
support pathology workflows. Potential applications include computer-aided diagnostics …
support pathology workflows. Potential applications include computer-aided diagnostics …
Automatic extraction of cell nuclei from H&E-stained histopathological images
Extraction of cell nuclei from hematoxylin and eosin (H&E)-stained histopathological images
is an essential preprocessing step in computerized image analysis for disease detection …
is an essential preprocessing step in computerized image analysis for disease detection …
[PDF][PDF] Nuclear segmentation in H&E sections via multi-reference graph cut (MRGC)
ABSTRACT The Cancer Genome Atlas (TCGA) provides a rich repository of tumor sections
that are collected from different laboratories. However, there are a significant amount of …
that are collected from different laboratories. However, there are a significant amount of …