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AI for Medical Diagnosis
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AI for Medical Diagnosis

This course is part of AI for Medicine.

Course Cost

Free course

Intermediate

Skill Level

19 Hours

Self-paced lessons

This comprehensive course focuses on applying artificial intelligence to medical diagnosis, specifically in analyzing medical imaging data. Students learn to develop CNN models for chest X-ray classification, implement evaluation metrics for diagnostic accuracy, and perform MRI image segmentation. The curriculum combines deep learning techniques with medical domain knowledge, teaching practical skills in handling medical data while addressing unique challenges like class imbalance and patient data privacy.

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4.7

75,094 Enrolled

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English

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olive-leaves-logo

4.7

75,094 Enrolled

olive-leaves-logo

English

What you'll learn

  • Build CNN models for medical image classification

  • Implement diagnostic evaluation metrics and ROC analysis

  • Develop 3D MRI image segmentation techniques

  • Handle class imbalance in medical datasets

  • Apply data augmentation for medical imaging

Skills you'll gain

Medical Image Analysis
Deep Learning
CNN Architecture
Image Segmentation
Diagnostic Evaluation
Machine Learning
Healthcare AI
Medical Diagnostics

This course includes:

1.57 Hours PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 3 modules in this course

This course provides comprehensive training in applying AI to medical diagnosis through three key modules. Starting with disease detection using computer vision on chest X-rays, students progress to implementing evaluation metrics for diagnostic models, and finally tackle 3D MRI image segmentation. The curriculum emphasizes practical implementation while addressing healthcare-specific challenges like handling patient data, ensuring diagnostic accuracy, and implementing appropriate evaluation metrics.

Disease Detection with Computer Vision Module 1

Module 1 · 8 Hours to complete

Evaluating Models Module 2

Module 2 · 4 Hours to complete

Image Segmentation on MRI Images Module 3

Module 3 · 7 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: AI for Medicine

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

AI for Medical Diagnosis

Intermediate

Skill Level

19 Hours

Self-paced lessons

Course Cost

Free course

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.