Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images
GI Sayed, AE Hassanien - Applied Intelligence, 2017 - Springer
This paper presents an automatic mitosis detection approach of histopathology slide
imaging based on using neutrosophic sets (NS) and moth-flame optimization (MFO). The …
imaging based on using neutrosophic sets (NS) and moth-flame optimization (MFO). The …
Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3, 3'-Diaminobenzidine&Haematoxylin
Abstract The comparative study of the results of various segmentation methods for the digital
images of the follicular lymphoma cancer tissue section is described in this paper. The …
images of the follicular lymphoma cancer tissue section is described in this paper. The …
Equalisation of archival microscopic images from immunohistochemically stained tissue sections
A method of image equalisation that reduces non-uniformity of light distribution caused by
optical devices and dust on camera sensors is presented. The method explores non …
optical devices and dust on camera sensors is presented. The method explores non …
Ontology-driven image analysis for histopathological images
A Othmani, C Meziat, N Loménie - International Symposium on Visual …, 2010 - Springer
Ontology-based software and image processing engine must cooperate in new fields of
computer vision like microscopy acquisition wherein the amount of data, concepts and …
computer vision like microscopy acquisition wherein the amount of data, concepts and …
[PDF][PDF] Interpretation breast cancer imaging by using ontology
B Meriem, T Yamina, A Pathology - … in Science and Technology. Journal of …, 2012 - Citeseer
Ontology-based software and image processing engine must cooperate in new fields of
computer vision like microscopy acquisition wherein the amount of data, concepts and …
computer vision like microscopy acquisition wherein the amount of data, concepts and …
Automated mitosis detection in color and multi-spectral high-content images in histopathology: application to breast cancer grading in digital pathology
H Irshad - 2014 - theses.hal.science
Digital pathology represents one of the major and challenging evolutions in
modernmedicine. Pathological exams constitute not only the gold standard in most of …
modernmedicine. Pathological exams constitute not only the gold standard in most of …
Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation
For the detection and evaluation of yeast cell microscopic images, decoloring and
segmentation is crucial. Usually, a standard operation of color conversion to grayscale is …
segmentation is crucial. Usually, a standard operation of color conversion to grayscale is …
Spatial representation and reasoning in breast cancer grading ontology
AE Tutac, VI Cretu, D Racoceanu - 2010 International Joint …, 2010 - ieeexplore.ieee.org
The most emphasized way of representing the knowledge from domains of real world is the
ontology, which is undoubtedly the trend of current years. In medical applications such as …
ontology, which is undoubtedly the trend of current years. In medical applications such as …
[PDF][PDF] Design issues of expert system for breast cancer detection
T Singh, SS Bhadauria, S Wadhwani… - International Journal of …, 2010 - Citeseer
In this paper, an expert system is designed using rule-based reasoning to evaluate the
probability of cancer. This is developed for features related to mammography to provide …
probability of cancer. This is developed for features related to mammography to provide …
[PDF][PDF] MICO: the COgnitive virtual MIcroscope project
The field of microscopy is experiencing a new revolution, exactly in the same way as satellite
imaging systems do, mainly due to dramatically improved storage and acquisition …
imaging systems do, mainly due to dramatically improved storage and acquisition …