Výsledky vyhledávání - "Olivier Saidi"

UNCONDITIONALLY SECURE COMPUTERS, ALGORITHMS AND HARDWARE, SUCH AS MEMORIES, PROCESSORS, KEYBOARDS, FLASH AND HARD DRIVES

Autor: Olivier Saidi, Laszlo B. Kish

Publikováno v: Fluctuation and Noise Letters. :L95-L98

In the case of the need of extraordinary security, Kirchhoff-loop-Johnson-(like)-noise ciphers can easily be integrated on existing types of digital chips in order to provide secure data communication between hardware processors, memory chips, hard d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6ac4eebcb9ae7d69237678570cc8e27
https://doi.org/10.1142/s0219477508004362

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Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images

Autor: Angeliki Kotsianti, David Verbel, Olivier Saidi, Ho-Yuen Pang, V.P. Kumar, Mikhail Teverovskiy, Ali Tabesh

Publikováno v: IEEE Transactions on Medical Imaging. 26:1366-1378

We present a study of image features for cancer diagnosis and Gleason grading of the histological images of prostate. In diagnosis, the tissue image is classified into the tumor and nontumor classes. In Gleason grading, which characterizes tumor aggr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a45c8f27f7a04a1dd7648d808a2680c
https://doi.org/10.1109/tmi.2007.898536

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Improved prediction of prostate cancer recurrence through systems pathology

Publikováno v: Journal of Clinical Investigation. 117:1876-1883

We have developed an integrated, multidisciplinary methodology, termed systems pathology, to generate highly accurate predictive tools for complex diseases, using prostate cancer for the prototype. To predict the recurrence of prostate cancer followi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56d2974d215f1177a0c595a4187ced1d
https://doi.org/10.1172/jci31399

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Technology Insight: will systems pathology replace the pathologist?

Autor: Jose Costa, Carlos Cordon-Cardo, Olivier Saidi

Publikováno v: Nature Clinical Practice Urology. 4:39-45

By using systems pathology, it might be possible to provide a predictive, personalized therapeutic recommendation for patients with prostate cancer. Systems pathology integrates quantitative data and information from many sources to generate a reliab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03355ee8a4b11eb20385ff2d33d7bfd
https://doi.org/10.1038/ncpuro0669

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Automated prostate cancer diagnosis and Gleason grading of tissue microarrays

Autor: Ho-Yuen Pang, David Verbel, Vinay P. Kumar, Olivier Saidi, Ali Tabesh, Angeliki Kotsianti, Mikhail Teverovskiy

Publikováno v: Medical Imaging: Image Processing

We present the results on the development of an automated system for prostate cancer diagnosis and Gleason grading. Images of representative areas of the original Hematoxylin-and-Eosin (H&E)-stained tissue retrieved from each patient, either from a t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::956125cb45fb897589348b77e864532b
https://doi.org/10.1117/12.597250

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Improved prediction of prostate cancer recurrence based on an automated tissue image analysis system

Autor: Yevgen Vengrenyuk, Olivier Saidi, Angeliki Kotsianti, Ali Tabesh, Junshui Ma, Stephen Fogarasi, Mikhail Teverovskiy, Ho-Yuen Pang, V.P. Kumar, David Verbel

Publikováno v: ISBI

Prostate tissue characteristics play an important role in predicting the recurrence of prostate cancer. Currently, experienced pathologists manually grade these prostate tissues using the GIeason scoring system, a subjective approach which summarizes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aef384a1f346b34fe5e3aea32cd662ae
https://doi.org/10.1109/isbi.2004.1398523

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Live Logic TM : Method for Approximate Knowledge Discovery and Decision Making

Autor: Marina Sapir, Angeliki Kotsianti, Olivier Saidi, David Verbel

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540286530
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Live Logic is an integrated approach for support of the learning and decision making in conditions of uncertainty. The approach covers both induction of probabilistic logical hypotheses from known examples and deduction of the plausible solution for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7171bd740d5f9dd7319a552394a1e836
https://doi.org/10.1007/11548669_55

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Predicting prostate cancer recurrence via maximizing the concordance index

Autor: Lian Yan, David Verbel, Olivier Saidi

Publikováno v: KDD

In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordance index (CI) is a typical metric for quantifying the predictive abilit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ff8785d4c31ea2a3fccfdd32410ecc1
https://doi.org/10.1145/1014052.1014106

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