kiranmayee b v (26 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware -Brustkrebs ist eine schreckliche Krankheit, die nach Hautkrebs am häufigsten bei Frauen auftritt und eine der Hauptursachen für den Anstieg der Sterblichkeitsrate ist. Die Screening-Mammographie ist das operative Verfahren zur Erkennung von Massen und Anomalien im Zusammenhang mit Brustkrebs. Digitale Mammogramme sind eine äußerst wirksame Methode zur Früherkennung von Krebs bei Frauen ohne Symptome und zur Diagnose von Krebs bei Frauen mit Symptomen wie Schmerzen im Knoten oder Ausfluss aus der Brustwarze, was die Sterblichkeit verringert und die Überlebenschancen erhöht. In der Regel hat der Arzt nicht die Zeit, die Beschwerden der Patientin abzuwägen und eine mögliche Diagnose zu stellen, indem er frühere Aufzeichnungen berücksichtigt, wodurch die Gefahr von medizinischen Fehlern und falschen Diagnosen steigt. Durch den Einsatz von maschinellem Lernen bei der Diagnose von Brustkrebs wird die Genauigkeit verbessert, indem Fehlklassifikationen reduziert und Zeit bei der Diagnose gespart wird. Die vorgeschlagene Arbeit ist eine instinktive Klassifizierung von Mammogrammbildern als gutartig, bösartig und normal unter Verwendung verschiedener maschineller Lernalgorithmen. Die Klassifizierung ist eine Identifizierungstechnik, mit der konsolidierte Daten in verschiedene Kategorien eingeteilt werden.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Deutsch.

Taschenbuch. Zustand: Neu. Vorhersage von Brustkrebs mit verschiedenen Methoden des maschinellen Lernens | Maschinelles Lernen | B. V. Kiranmayee (u. a.) | Taschenbuch | 96 S. | Deutsch | 2021 | Verlag Unser Wissen | EAN 9786204307237 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -Breast cancer is horrendous disease after skin cancer which is most common in woman and it is a foremost cause for the upsurge in mortality rate. Screening mammography is the operative procedure for detecting masses and abnormalities allied to breast cancer. Digital mammograms are utmost operative source that helps in early detection of cancer in women with no symptoms and diagnose cancer in women with symptoms like pain in lump, nipple discharge which diminutions deaths and upsurges chances of survival. Usually clinician cannot spare more time on a patient to weigh the complaints and suggest a possible diagnosis by considering past records.During this stage, there is more chance to medical errors and wrong diagnosis. By using machine learning in diagnosing breast cancer improves accuracy by reducing misclassifications and saves time in diagnosing. The proposed work is instinctive classification of mammogram images as Benign, Malignant and Normal using various machine learning algorithms. Classification is an identification technique used to classify consolidated data into different categories.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Le cancer du sein est une maladie horrible, après le cancer de la peau, qui est la plus fréquente chez les femmes et qui est une cause majeure de l'augmentation du taux de mortalité. La mammographie de dépistage est la procédure opérationnelle permettant de détecter les masses et les anomalies liées au cancer du sein. Les mammographies numériques sont la source la plus opérationnelle qui aide à la détection précoce du cancer chez les femmes ne présentant pas de symptômes et à diagnostiquer le cancer chez les femmes présentant des symptômes tels qu'une douleur dans la masse, un écoulement du mamelon, ce qui diminue les décès et augmente les chances de survie. En général, les cliniciens ne peuvent pas consacrer plus de temps à un patient pour évaluer ses plaintes et suggérer un diagnostic possible en tenant compte de ses antécédents, ce qui augmente le risque d'erreurs médicales et de mauvais diagnostics. En utilisant l'apprentissage automatique dans le diagnostic du cancer du sein, on améliore la précision en réduisant les erreurs de classification et on gagne du temps dans le diagnostic. Le travail proposé est la classification instinctive des images de mammographie comme bénigne, maligne et normale en utilisant divers algorithmes d'apprentissage automatique. La classification est une technique d'identification utilisée pour classer des données consolidées dans différentes catégories.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Französisch.

Zustand: New.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -El cáncer de mama es una enfermedad horrenda, después del cáncer de piel, que es la más común en la mujer y es la causa principal del aumento de la tasa de mortalidad. La mamografía de cribado es el procedimiento operativo para detectar masas y anomalías relacionadas con el cáncer de mama. Las mamografías digitales son la fuente más operativa que ayuda a la detección temprana del cáncer en mujeres sin síntomas y a diagnosticar el cáncer en mujeres con síntomas como dolor en el bulto, secreción del pezón, lo que disminuye las muertes y aumenta las posibilidades de supervivencia. Por lo general, el médico no puede dedicar más tiempo a un paciente para sopesar las quejas y sugerir un posible diagnóstico teniendo en cuenta los registros anteriores. El uso del aprendizaje automático en el diagnóstico del cáncer de mama mejora la precisión al reducir las clasificaciones erróneas y ahorra tiempo en el diagnóstico. El trabajo propuesto es la clasificación instintiva de las imágenes de mamografía como benignas, malignas y normales utilizando varios algoritmos de aprendizaje automático. La clasificación es una técnica de identificación utilizada para clasificar datos consolidados en diferentes categorías.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Spanisch.

Taschenbuch. Zustand: Neu. Neuware -O câncer de mama é uma doença horrenda após o câncer de pele, que é mais comum na mulher e é uma das principais causas do aumento da taxa de mortalidade. A mamografia de rastreio é o procedimento cirúrgico para detectar massas e anomalias aliadas ao cancro da mama. As mamografias digitais são a maior fonte operatória que ajuda na detecção precoce do câncer em mulheres sem sintomas e no diagnóstico do câncer em mulheres com sintomas como dor no nódulo, descarga no mamilo que diminui as mortes e aumenta as chances de sobrevivência. Normalmente o médico não pode dispensar mais tempo ao paciente para pesar as queixas e sugerir um possível diagnóstico, considerando registros passados. Durante esta fase, há mais chances de erros médicos e diagnósticos errados. Ao utilizar a aprendizagem da máquina no diagnóstico do cancro da mama melhora a precisão, reduzindo as classificações erradas e poupa tempo no diagnóstico. O trabalho proposto é a classificação instintiva das imagens de mamografia como Benigna, Maligna e Normal, utilizando vários algoritmos de aprendizagem mecânica. A classificação é uma técnica de identificação utilizada para classificar os dados consolidados em diferentes categorias.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Portugiesisch.

Taschenbuch. Zustand: Neu. Neuware -Il cancro al seno è una malattia orrenda dopo il cancro della pelle che è più comune nella donna ed è una delle cause principali dell'aumento del tasso di mortalità. La mammografia di screening è la procedura operativa per individuare le masse e le anomalie legate al cancro al seno. Le mammografie digitali sono la fonte operativa più importante che aiuta a individuare precocemente il cancro nelle donne senza sintomi e a diagnosticare il cancro nelle donne con sintomi come il dolore nel nodulo, lo scarico del capezzolo che diminuisce le morti e aumenta le possibilità di sopravvivenza. Di solito il medico non può dedicare più tempo a un paziente per soppesare i reclami e suggerire una possibile diagnosi prendendo in considerazione i dati precedenti; durante questa fase, c'è più possibilità di errori medici e diagnosi sbagliate. Utilizzando l'apprendimento automatico nella diagnosi del cancro al seno si migliora l'accuratezza riducendo gli errori di classificazione e si risparmia tempo nella diagnosi. Il lavoro proposto è la classificazione istintiva delle immagini mammografiche come benigno, maligno e normale utilizzando vari algoritmi di apprendimento automatico. La classificazione è una tecnica di identificazione utilizzata per classificare i dati consolidati in diverse categorie.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Italienisch.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -This book comprises the best deliberations with the theme ¿Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems¿ in the ¿International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)¿, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 580 pp. Englisch.

Buch. Zustand: Neu. Neuware -This book comprises the best deliberations with the theme ¿Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems¿ in the ¿International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)¿, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 580 pp. Englisch.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprises the best deliberations with the theme 'Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems'in the'International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)', organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprises the best deliberations with the theme 'Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems'in the'International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)', organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Buch. Zustand: Neu. Neuware -This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13¿14 August 2021. The book focuses on ¿Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems¿ enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 632 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13-14 August 2021. The book focuses on 'Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems' enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13-14 August 2021. The book focuses on 'Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems' enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.

Hardcover. Zustand: Brand New. 578 pages. 9.25x6.10x1.46 inches. In Stock.

Paperback. Zustand: Brand New. 631 pages. 9.25x6.10x1.27 inches. In Stock.