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Artificial Intelligence for Breast Cancer Detection
  • Level Professional
  • المدة 15 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and would like to know how AI can be applied to mammography. The course content is focused on the AI processing paradigm along with the domain knowledge of breast imaging. This course approach is unique, providing students a broad perspective of AI, rather than homing in on a particular implementation method. Students who complete this course will not only leverage the knowledge into an entry level job in the field of artificial intelligence but also perform well on projects because their thorough understanding of the AI processing paradigm.

الوحدات

Welcome to Artificial Intelligence for Breast Cancer Detection

    • 1 Videos
Show info about module content

1 Videos

  • Instructor Introductions and Course Overview

Breast Cancer Introduction

    • 1 Videos
    • 2 Plugin
    • 1 Assignment
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1 Assignment

  • Breast Cancer and Breast Imaging Introduction

1 Videos

  • Introduction to Breast Cancer and Breast Imaging

Breast Cancer Screening

    • 1 Videos
    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Breast Cancer Screening

1 Videos

  • Overview of Breast Cancer Screening

Breast Cancer Diagnostics

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Diagnostic Breast Imaging

1 Videos

  • Diagnostic Breast Cancer Imaging

1 Readings

  • Paper on Magnification Views

Breast Imaging Outcome Metrics

    • 1 Videos
    • 1 Readings
    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Outcome Metrics

1 Videos

  • Outcome Metrics

1 Readings

  • ACR Outcome Metrics

History of Artificial Intelligence Introduction

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • History of Artificial Intelligence

1 Discussions

  • Success and Challenges of DNN

1 Videos

  • History of Artificial Intelligence

AI Training and Test

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Algorithm Training and Test

1 Discussions

  • Processing Paradigm

1 Videos

  • AI Training and Test

Parametric and Non-Parametric Model

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Parametric and Non-parametric Modeling

1 Discussions

  • Modeling Approaches

1 Videos

  • Parametric and Non-parametric Modeling

Classification Assessment Metrics

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Assessment Metrics

1 Discussions

  • Feature Effectiveness Measurement

1 Videos

  • Classification Assessment Metrics

Benign Appearing Calcifications

    • 1 Videos
    • 2 Readings
    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Benign Calcifications

1 Videos

  • Typically Benign Calcifications

2 Readings

  • Benign Calcifications Reading
  • Calcification Video

Suspicious Calcifications

    • 1 Videos
    • 2 Readings
    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Suspicious Calcifications

1 Videos

  • Suspicious Calcifications

2 Readings

  • Ductal Carcinoma In Situ
  • Finish Calcification Video

Benign Appearing Masses

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Benign Masses

1 Videos

  • Benign Appearing Masses

1 Readings

  • Benign Breast Tumours

Suspicious Masses

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Suspicious Masses

1 Videos

  • Suspicious Appearing Masses

1 Readings

  • Breast Cancer Reading

Building Classifier

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Building Classifier

1 Discussions

  • Value-added Tool

1 Videos

  • Building Classifier

Bayesian Neural Networks

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Bayesian Neural Network

1 Discussions

  • Innovation of BNN

1 Videos

  • Bayesian Neural Network

1 Readings

  • Bayesian Neural Network

Convolutional Neural Networks

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Convolutional Neural Network

1 Discussions

  • Innovation of CNN

1 Videos

  • Convolutional Neural Network

Applications of AI to Breast Cancer Detection

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Applications to Breast Cancer Detection

1 Discussions

  • Future AI Applications

1 Videos

  • Applications to Breast Cancer Detection

Auto Summary

"Artificial Intelligence for Breast Cancer Detection" is a professional course offered by Coursera, focusing on AI approaches to mammography. Ideal for data science and AI enthusiasts aiming for careers in product development, the course covers AI processing paradigms and breast imaging. It includes quizzes, discussions, and journal readings. Lasting 900 minutes, it offers Starter and Professional subscription options.

Chung-Fu Chang
Instructors

Chung-Fu Chang

Emily Ambinder
Instructors

Emily Ambinder