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Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs
Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Segmentation of Cell Nuclei Regions in Epithelium of Prostate Glands
(2012)
This paper proposes a method for segmentation of cell nuclei regions in epithelium of prostate glands. This structure provides information to diagnosis and prognosis of prostate cancer. In the initial step, the contrast ...
Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks
(2019-01-01)
Dysplasia is a common pre-cancerous abnormality that can be categorized as mild, moderate and severe. With the advance of digital systems applied in microscopes for histological analysis, specialists can obtain data that ...
Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization
(2020-12-16)
Oral epithelial dysplasia is a common type of pre-cancerous lesion that can be categorized as mild, moderate and severe. The manual diagnosis of this type of lesion is a time consuming and complex task. The use of digital ...
An image processing approach to analyze morphological features of microscopic images of muscle fibers
(ElsevierAmsterdam, 2014-12)
We present an image processing approach to automatically analyze duo-channel microscopic images of muscular fiber nuclei and cytoplasm. Nuclei and cytoplasm play a critical role in determining the health and functioning ...