Anastraj (65 resultados)

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. "ADVANCED BREAST CANCER DETECTION USING MACHINE LEARNING AND SEGMENTAT | "Harnessing Microwave Imaging for Improved Detection and Analysis" | Anastraj K (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9783659695810 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condición: New.

Taschenbuch. Condición: Neu. Détection avancée du cancer du sein à l'aide de l'apprentissage automatique et de la segmentation | Utilisation de l'imagerie par micro-ondes | Anastraj K (u. a.) | Taschenbuch | Französisch | 2025 | Editions Notre Savoir | EAN 9786202418669 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Rilevazione avanzata del cancro al seno tramite machine learning e segmentazione | Uso della visualizzazione a microonde | Anastraj K (u. a.) | Taschenbuch | Italienisch | 2025 | Edizioni Sapienza | EAN 9786202418683 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Zaawansowane wykrywanie raka piersi przy u¿yciu uczenia maszynowego i segmentacji | Wykorzystanie obrazowania mikrofalowego | Anastraj K (u. a.) | Taschenbuch | Polnisch | 2025 | Wydawnictwo Nasza Wiedza | EAN 9786202418737 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Detecção avançada do cancro da mama utilizando aprendizagem automática e segmentação | Utilização da visualização por micro-ondas | Anastraj K (u. a.) | Taschenbuch | Portugiesisch | 2025 | Edições Nosso Conhecimento | EAN 9786202418744 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Fortgeschrittene Brustkrebserkennung mithilfe von maschinellem Lernen und Segmentierung | Verwendung der Mikrowellenbildgebung | Anastraj K (u. a.) | Taschenbuch | 88 S. | Deutsch | 2025 | Verlag Unser Wissen | EAN 9786202418645 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Alzheimer's disease is a progressive brain disorder that affects memory, thinking, and behavior. Early prediction is important because it allows timely treatment and care planning.This study on "Early Prediction of Alzheimer Disease Using ML and Microwave Images" focuses on using machine learning (ML) techniques to detect Alzheimer's disease at an early stage. It uses microwave imaging, a non-invasive method that captures brain-related signals, to identify possible abnormalities.The collected imaging data is processed and analyzed using ML algorithms, which learn patterns associated with Alzheimer's disease. The system then classifies whether a patient is likely to have early-stage Alzheimer's or not.Overall, the approach aims to improve early diagnosis accuracy, reduce dependence on expensive scanning methods, and support faster medical decision-making. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 140 pp. Englisch.

Paperback. Condición: new. Paperback. Alzheimer's disease is a progressive brain disorder that affects memory, thinking, and behavior. Early prediction is important because it allows timely treatment and care planning.This study on "Early Prediction of Alzheimer Disease Using ML and Microwave Images" focuses on using machine learning (ML) techniques to detect Alzheimer's disease at an early stage. It uses microwave imaging, a non-invasive method that captures brain-related signals, to identify possible abnormalities.The collected imaging data is processed and analyzed using ML algorithms, which learn patterns associated with Alzheimer's disease. The system then classifies whether a patient is likely to have early-stage Alzheimer's or not.Overall, the approach aims to improve early diagnosis accuracy, reduce dependence on expensive scanning methods, and support faster medical decision-making. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. Alzheimer's disease is a progressive brain disorder that affects memory, thinking, and behavior. Early prediction is important because it allows timely treatment and care planning.This study on "Early Prediction of Alzheimer Disease Using ML and Microwave Images" focuses on using machine learning (ML) techniques to detect Alzheimer's disease at an early stage. It uses microwave imaging, a non-invasive method that captures brain-related signals, to identify possible abnormalities.The collected imaging data is processed and analyzed using ML algorithms, which learn patterns associated with Alzheimer's disease. The system then classifies whether a patient is likely to have early-stage Alzheimer's or not.Overall, the approach aims to improve early diagnosis accuracy, reduce dependence on expensive scanning methods, and support faster medical decision-making. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breast cancer is the second leading cause of death among women, often undetected until it reaches advanced stages. Early identification is crucial, as accurate classification of benign and malignant tumors can prevent unnecessary treatments. This study explores the application of machine learning techniques for breast cancer diagnosis using the Wisconsin Breast Cancer Dataset from the UCI Repository.Initial experiments with the Naïve Bayes classifier yielded 88% accuracy for benign and 86% for malignant tumors. However, it faced limitations, such as low accuracy and issues with zero frequency probabilities. Switching to Artificial Neural Networks (ANN) improved results to 90% for benign and 92% for malignant classifications, but still did not yield optimal outcomes.The research ultimately employed Support Vector Machine (SVM) techniques, achieving the highest accuracy at 97% for benign and 95% for malignant tumors. This method effectively distinguishes between tumor types using a linear model based on hyperplanes. All algorithms were implemented using the R tool, which is user-friendly and free, facilitating data handling for breast cancer classification.…

Condición: New. PRINT ON DEMAND.