Browsing by Author "Sirinukunwattana, Korsuk"
Now showing items 1-6 of 6
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Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
( Public Library of Science , 2013 , Article)Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ... -
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
( American Medical Association , 2017 , Article)IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the performance of automated deep learning algorithms at ... -
Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images
( Nature Publishing Group , 2017 , Article)Determining the grade of colon cancer from tissue slides is a routine part of the pathological analysis. In the case of colorectal adenocarcinoma (CRA), grading is partly determined by morphology and degree of formation ... -
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images
( IEEE Computer Society , 2016 , Conference Paper)Detection of tumor nuclei in cancer histology images requires sophisticated techniques due to the irregular shape, size and chromatin texture of the tumor nuclei. Some very recently proposed methods employ deep convolutional ... -
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ... -
Robust normalization protocols for multiplexed fluorescence bioimage analysis
( BioMed Central , 2016 , Article)The study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to use the ...
