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Digital pathology and artificial intelligence
In modern clinical practice, digital pathology has a crucial role and is increasingly a
technological requirement in the scientific laboratory environment. The advent of whole-slide …
technological requirement in the scientific laboratory environment. The advent of whole-slide …
Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
Breast cancer histopathology image analysis: A review
This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …
breast cancer histopathology images. This research area has become particularly relevant …
Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential
Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …
examinations constitute the gold standard in many medical protocols, and also play a critical …
Automatic nuclei segmentation in H&E stained breast cancer histopathology images
M Veta, PJ Van Diest, R Kornegoor, A Huisman… - PloS one, 2013 - journals.plos.org
The introduction of fast digital slide scanners that provide whole slide images has led to a
revival of interest in image analysis applications in pathology. Segmentation of cells and …
revival of interest in image analysis applications in pathology. Segmentation of cells and …
Application of feature extraction and classification methods for histopathological image using GLCM, LBP, LBGLCM, GLRLM and SFTA
Classification of histopathologic images and identification of cancerous areas is quite
challenging due to image background complexity and resolution. The difference between …
challenging due to image background complexity and resolution. The difference between …
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles
Computerized analysis of digital pathology images offers the potential of improving clinical
care (eg automated diagnosis) and catalyzing research (eg discovering disease subtypes) …
care (eg automated diagnosis) and catalyzing research (eg discovering disease subtypes) …
Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting
For quantitative analysis of histopathological images, such as the lymphoma grading
systems, quantification of features is usually carried out on single cells before categorizing …
systems, quantification of features is usually carried out on single cells before categorizing …
[HTML][HTML] Artificial intelligence and digital microscopy applications in diagnostic hematopathology
Digital Pathology is the process of converting histology glass slides to digital images using
sophisticated computerized technology to facilitate acquisition, evaluation, storage, and …
sophisticated computerized technology to facilitate acquisition, evaluation, storage, and …
A survey on automated cancer diagnosis from histopathology images
Detecting cancer at an early stage is useful in better patient prognosis and treatment
planning. Even though there are several preliminary tests and non-invasive procedures that …
planning. Even though there are several preliminary tests and non-invasive procedures that …