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Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation [chapter]

Aïcha BenTaieb, Hector Li-Chang, David Huntsman, Ghassan Hamarneh
2015 Lecture Notes in Computer Science  
In this work, we propose an automatic system for the diagnosis of ovarian carcinoma subtypes from large-scale histopathology images.  ...  Our novel approach uses an unsupervised feature learning framework composed of a sparse tissue representation and a discriminative feature encoding scheme.  ...  Introduction Recent advances in epithelial ovarian cancer diagnosis have shown that morphologic subtypes of ovarian carcinomas (OC) are associated with distinct pathologic and molecular characteristics  ... 
doi:10.1007/978-3-319-24553-9_77 fatcat:27nyvav375eanbfrjg3sgeymqm

Front Matter: Volume 10134

2017 Medical Imaging 2017: Computer-Aided Diagnosis  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  sequences [10134-137] 10134 3W Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation [10134-138] 10134 3X Automatic thoracic body region localization [10134  ... 
doi:10.1117/12.2277119 dblp:conf/micad/X17 fatcat:ika7pheqxngdxejyvkss4dkbv4

a need to know

William A. Spencer, Larry R. Gettman, H. H. Bridge, Allan J. Ryan
1983 Physician and sportsmedicine  
Overlapping Community Detection in Networks via Sparse Principal Component Analysis-FJesus Daniel Arroyo Relion, University of Michigan; Elizaveta Levina, University of Michigan 5:05 p.m.  ...  Integrative Analysis of Transcriptomic and Metabolomic Data via Sparse Canonical Correlation Analysis with Incorporation of Biological Information-FSandra Safo, Emory University; Qi Long, Emory University  ...  Professional Development This year marks the centennial of Statistics of Income (SOI), a principal Federal statistical agency responsible for the statistical policies and programs of the U.S.  ... 
doi:10.1080/00913847.1983.11708423 pmid:27409254 fatcat:7rlbreoerngb3epmighz7l5vr4

International Symposium on Fluid Acoustics IFA2019 Sopot, Poland, May 20–22, 2019

2019
.: Tech.) is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952.  ...  The Bulletin of the Polish Academy of Sciences: Technical Sciences (Bull.Pol.  ...  The goal of this study was to find the quantitative measure of the skin tissue backscattering properties that could be used for differentiating the changes of tissue structure induced by Basal Cell Carcinoma  ... 
doi:10.24425/aoa.2019.128504 fatcat:ywnhggtlpzbgtl54r353vzqqzu

Assessing a hyperspectral image analysis system to study tumor and immune cell spatial organizations within lung tumor microenvironments

Sonia H.Y. Kung
2018
After a lung pathologist identified areas of interest on tissue sections, five representative regions within each area were imaged.  ...  Lung cancer is the leading cause of cancer-associated death worldwide.  ...  artifacts Tissue fold detection by using a soft and hard threshold and including neighborhood criteria Kidney clear cell carcinoma (h) Ovarian serous adenocarcinoma (h) [199] Perform image preprocesing  ... 
doi:10.14288/1.0363386 fatcat:t2bi4oekpzfjxlsscl4v2nykue

Computer aided detection of polyps in CT colonography [article]

Ju Lynn Ong, University, The Australian National, University, The Australian National
2018
Automatic approaches generally involve a combination of tissue classification and knowledge-guided region growing while semi-automatic approaches require some sort of manual intervention in selecting thresholds  ...  The wavelet transform is suitable for sparse approximation of functions.  ... 
doi:10.25911/5d5fca0d2d12b fatcat:izmx64soknbyzag32dc7yebefa