Mihad bakri (62 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. System for Breast Tissue Recognition in Digital Mammograms | Basics, Concepts and Methods | Mihad Bakri | Taschenbuch | 60 S. | Englisch | 2016 | Scholars' Press | EAN 9783639863444 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Système de reconnaissance des tissus mammaires dans les mammographies numériques | Notions fondamentales, concepts et méthodes | Mihad Bakri | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209939150 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Sistema de reconhecimento do tecido mamário em mamografias digitais | Noções básicas, conceitos e métodos | Mihad Bakri | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209959639 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Sistema per il riconoscimento del tessuto mammario nelle mammografie digitali | Nozioni di base, concetti e metodi | Mihad Bakri | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209941719 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. System rozpoznawania tkanki piersi na cyfrowych mammogramach | Podstawy, poj¿cia i metody | Mihad Bakri | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209951954 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. System zur Erkennung von Brustgewebe in digitalen Mammographien | Grundlagen, Konzepte und Methoden | Mihad Bakri | Taschenbuch | 56 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209934032 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breast cancer is the most common cancer in women worldwide. The conventional visual-inspection method for early breast-cancer detection is impractical, non reproducible, and may bestows ambiguous results. Early detection of breast-cancer greatly improves the chance of survival. Therefore, a fully automated, accurate, and reliable computerized method it highly needed. This book, therefore, provides a new metric of success of CAD system for detecting abnormal regions on mammogram using image processing technique. Two methods have been used to achieve this objective and was the first method is full automatic system using shock filter where it has the ability to remove background, noise and the pectoral muscle, it also can increase contrast on abnormal region in mammogram. The second method is semi automatic system, it consist of three phases: choose sub image then extract features and classify these features by Linear Discriminate Analysis (LDA) with accuracy 96.8%. the system is useful especially for doctors to detect abnormal areas in mammograms in real time or anyone else who may be interested in research development for CADs to diagnose breast cancer in early stages. 60 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is the most common cancer in women worldwide. The conventional visual-inspection method for early breast-cancer detection is impractical, non reproducible, and may bestows ambiguous results. Early detection of breast-cancer greatly improves the chance of survival. Therefore, a fully automated, accurate, and reliable computerized method it highly needed. This book, therefore, provides a new metric of success of CAD system for detecting abnormal regions on mammogram using image processing technique. Two methods have been used to achieve this objective and was the first method is full automatic system using shock filter where it has the ability to remove background, noise and the pectoral muscle, it also can increase contrast on abnormal region in mammogram. The second method is semi automatic system, it consist of three phases: choose sub image then extract features and classify these features by Linear Discriminate Analysis (LDA) with accuracy 96.8%. the system is useful especially for doctors to detect abnormal areas in mammograms in real time or anyone else who may be interested in research development for CADs to diagnose breast cancer in early stages. …

Paperback. Condizione: new. Paperback. Le cancer du sein est le cancer le plus frequent chez les femmes a l'echelle mondiale. La methode conventionnelle d'inspection visuelle pour le depistage precoce du cancer du sein est peu pratique, non reproductible et peut donner lieu a des resultats ambigus. Le depistage precoce du cancer du sein ameliore considerablement les chances de survie. Il est donc urgent de disposer d'une methode informatisee entierement automatisee, precise et fiable. Cet ouvrage propose donc un nouvel indicateur de performance pour les systemes d'aide au diagnostic par ordinateur (CAD) destines a detecter les zones anormales sur les mammographies a l'aide de techniques de traitement d'images. Deux methodes ont ete utilisees pour atteindre cet objectif. La premiere est un systeme entierement automatique utilisant un filtre de choc, capable de supprimer l'arriere-plan, le bruit et le muscle pectoral, et d'augmenter le contraste sur les zones anormales de la mammographie. La deuxieme methode est un systeme semi-automatique qui comprend trois phases: selectionner une sous-image, extraire les caracteristiques et classer ces caracteristiques par analyse discriminante lineaire (LDA) avec une precision de 96,8 %. Ce systeme est particulierement utile pour les medecins qui souhaitent detecter en temps reel les zones anormales sur les mammographies, ou pour toute autre personne interessee par la recherche et le developpement de systemes de CAO permettant de diagnostiquer le cancer du sein a un stade preco This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …