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Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2022)
Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization
(Association for Pathology Informatics, 2012-01-19)
Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem. This paper ...
Prognostic Significance of Myocardial Fibrosis Quantification by Histopathology and Magnetic Resonance Imaging in Patients With Severe Aortic Valve Disease
(ELSEVIER SCIENCE INC, 2010)
Objectives We sought to determine whether the quantitative assessment of myocardial fibrosis (MF), either by histopathology or by contrast-enhanced magnetic resonance imaging (ce-MRI), could help predict long-term survival ...
A kernel-based multi-feature image representation for histopathology image classification
(Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Biología, 2010)
This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique ...
Unsupervised method for normalization of hematoxylin-eosin stain in histological images
(Elsevier B.V., 2019-10-01)
Histological images stained with hematoxylin-eosin are widely used by pathologists for cancer diagnosis. However, these images can have color variations that highly influence the histological image processing techniques. ...
Multiple analyses suggests texture features can indicate the presence of tumor in the prostate tissue
(2022-01-01)
Several studies have demonstrated statistical and texture analysis abilities to differentiate cancerous from healthy tissue in magnetic resonance imaging. This study developed a method based on texture analysis and machine ...
Gadolinium-enhanced MRI in the evaluation of minimally invasive treatments of the prostate: Correlation with histopathologic findings
(ELSEVIER, 2003-11)
Objectives. To explore the use of magnetic resonance imaging (MRI) with gadolinium enhancement as a noninvasive method to image the extent of ablation after minimally invasive treatment. Minimally invasive methods for ...
Histopathology image classification via characterization of nuclei arrangement
(2017-05-30)
Abstract. The automatic characterization of histopathology images is an important requirement for the development of computarized tools that might benefit clinicians in their everyday professional workflow. Researchers ...
Imaging mass spectrometry assists in the classification of diagnostically challenging atypical Spitzoid neoplasms
(Elsevier, 2016)
BACKGROUND: Previously, using imaging mass spectrometry (IMS), we discovered proteomic differences between Spitz nevi and Spitzoid melanomas. OBJECTIVE: We sought to determine whether IMS can assist in the classification ...
Analysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images
(2020-07-01)
Breast cancer is one of the most common diseases in women in the world. There are various imaging techniques employed in the diagnosis. The histological image analysis supported by computational systems has proved to be ...