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Artificial Intelligence for Breast Cancer Detection
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Artificial Intelligence for Breast Cancer Detection

Learn AI processing approaches for breast cancer detection, focusing on mammography and the AI processing paradigm.

Course Cost

₹ 2,699

Intermediate

Skill Level

13 Hours

Self-paced lessons

This course provides comprehensive knowledge of artificial intelligence processing approaches for breast cancer detection. Designed for students interested in AI product development careers, it offers a unique, broad perspective on AI applications in mammography. The curriculum covers breast cancer epidemiology, breast imaging techniques, AI processing paradigms, and performance assessment metrics. Students will explore common mammographic abnormalities and learn about major AI approaches applicable to breast cancer detection, including Bayesian Neural Networks and Convolutional Neural Networks. Through quizzes, discussions, and reading assignments, students will gain a thorough understanding of the AI processing paradigm in the context of breast imaging, preparing them for entry-level jobs in the field of artificial intelligence and equipping them with knowledge for successful project implementation.

4.6

3,872 Enrolled

English

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4.6

3,872 Enrolled

English

What you'll learn

  • Understand breast cancer epidemiology and breast imaging techniques

  • Gain knowledge of AI processing paradigms and their application to mammography

  • Learn about performance assessment metrics for AI in medical imaging

  • Identify common mammographic abnormalities and their significance

  • Explore major AI approaches including Bayesian and Convolutional Neural Networks

  • Understand the application of AI techniques in breast cancer detection

  • Develop skills to critically evaluate AI tools in medical imaging

Skills you'll gain

artificial intelligence
breast cancer detection
mammography
machine learning
medical imaging
neural networks
performance metrics
diagnostic imaging
data analysis
healthcare technology

This course includes:

118 Minutes PreRecorded video

16 quizzes,12 discussion prompts

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course offers a comprehensive exploration of artificial intelligence applications in breast cancer detection. It begins with an introduction to breast cancer epidemiology and breast imaging techniques, providing essential domain knowledge. Students then learn about the history and key elements of AI, including training and testing approaches, parametric and non-parametric modeling, and classification assessment metrics. The course covers common mammographic abnormalities to build a foundation for understanding AI's role in detection. Finally, it delves into specific AI approaches like Bayesian Neural Networks and Convolutional Neural Networks, demonstrating their applications in breast cancer detection. Throughout the course, students engage with quizzes, discussions, and reading assignments to reinforce their understanding of the AI processing paradigm in the context of breast imaging.

Introduction to Breast Cancer and Breast Imaging

Module 1 · 3 Hours to complete

Introduction of Artificial Intelligence

Module 2 · 3 Hours to complete

Mammographic Abnormalities

Module 3 · 3 Hours to complete

AI Applications to Breast Cancer Detection

Module 4 · 4 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

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Artificial Intelligence for Breast Cancer Detection

Intermediate

Skill Level

13 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.