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Toplam kayıt 5, listelenen: 1-5
Local Object Patterns for the Representation and Classification of Colon Tissue Images
(Ieee-Inst Electrical Electronics Engineers Inc, 2014)
This paper presents a new approach for the effective representation and classification of images of histopathological colon tissues stained with hematoxylin and eosin. In this approach, we propose to decompose a tissue ...
Multilevel Segmentation Of Histopathological Images Using Cooccurrence Of Tissue Objects
(Ieee-Inst Electrical Electronics Engineers Inc, 2012)
This paper presents a new approach for unsupervised segmentation of histopathological tissue images. This approach has two main contributions. First, it introduces a new set of high-level texture features to represent the ...
Two-Tier Tissue Decomposition For Histopathological Image Representation And Classification
(Ieee-Inst Electrical Electronics Engineers Inc, 2015)
In digital pathology, devising effective image representations is crucial to design robust automated diagnosis systems. To this end, many studies have proposed to develop object-based representations, instead of directly ...
Object-Oriented Texture Analysis For The Unsupervised Segmentation Of Biopsy Images For Cancer Detection
(Elsevier Sci Ltd, 2009)
Staining methods routinely used in pathology lead to similar color distributions in the biologically different regions of histopathological images. This causes problems in image segmentation for the quantitative analysis ...
A Resampling-Based Markovian Model For Automated Colon Cancer Diagnosis
(Ieee-Inst Electrical Electronics Engineers Inc, 2012)
In recent years, there has been a great effort in the research of implementing automated diagnostic systems for tissue images. One major challenge in this implementation is to design systems that are robust to image ...