Mastering Deep Learning For Cancer Detection

[mitsumi]

Mastering Deep Learning For Cancer Detection

Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.34 GB | Duration: 6h 26m

Empower Your Journey in AI-Driven Healthcare with Cutting-Edge Techniques and Practical Insights.

What you'll learn
Learn python programming
Learn Image processing with python and openCV
Using object detection for detect special materials in pictures or videos
Make a new dataset for finding cancers
Cancer detection with deep learning
Requirements
You can learn Python, Image processing and deep learning and everything you need to know.
No programming experience needed.
Description
Brief Description:Unlock the power of deep learning to make a meaningful impact on global health. "Mastering Deep Learning for Cancer Detection" is not just a course; it's a call to action. Join us in the quest to find cancers across all ages and demographics, uniting individuals driven by a shared purpose: helping others and contributing to the solution for one of Earth's most significant challenges.Key Objectives:Inclusive Approach: This course is open to all individuals passionate about leveraging their skills to address the global issue of cancer. Whether you're a student, professional, or simply someone eager to make a difference, this course is for you.Comprehensive Training: Gain expertise in utilizing deep learning methodologies for cancer detection. From understanding the fundamentals to implementing advanced techniques, this course covers the spectrum to ensure you're well-equipped to contribute meaningfully.Community Impact: Be part of a community dedicated to applying technology for the greater good. Collaborate with like-minded individuals, share insights, and collectively contribute to the ongoing improvement of cancer detection strategies.Global Perspective: Cancer knows no boundaries. This course empowers you to address this universal challenge, providing tools and knowledge applicable across diverse populations and demographics.Who Should Enroll:Individuals of all ages with a passion for helping others.Students aspiring to make a difference in healthcare.Professionals seeking to apply their skills to a global health cause.Anyone committed to contributing to the solution for cancer detection.Embark on this journey with us, where your expertise in deep learning becomes a catalyst for positive change. Enroll in "Mastering Deep Learning for Cancer Detection" and become part of a community dedicated to making a real impact on our planet's health. Together, we can turn the tide against cancer.
Overview
Section 1: Python for Beginners
Lecture 1 Course structure
Lecture 2 Introduction Python
Lecture 3 Hello World
Lecture 4 Variables 1
Lecture 5 Variables 2
Lecture 6 Data Type 1
Lecture 7 Data Type 2
Lecture 8 Data Type 3
Lecture 9 Data Type 4
Section 2: Advanced Python
Lecture 10 Inputs
Lecture 11 Conditions
Lecture 12 Repetitive execution
Lecture 13 While Loops
Lecture 14 Functions
Section 3: Image Processing for Begineers
Lecture 15 Introduction to Image Processing
Lecture 16 Read, Display, Draw and Save Images
Lecture 17 Copy and Paste, color manipulation and ...
Section 4: Advanced Image Processing
Lecture 18 Logical Operations on Images
Lecture 19 Thresholding
Lecture 20 Morphological Operation
Lecture 21 Edge Detection
Lecture 22 Corner Detection
Lecture 23 Template matching
Lecture 24 Histogram
Section 5: Cancer Detection
Lecture 25 Introduction Deep learning
Lecture 26 Introduction YOLO 1
Lecture 27 Introduction YOLO 2
Lecture 28 Introduction YOLO 3
Lecture 29 Installing libraries
Lecture 30 Cancer Detection
Lecture 31 Training Part 1
Lecture 32 Training Part 2
Lecture 33 Training Part 3
Lecture 34 Training Part 4 - Test Cancer Detection Program
Students,Beginners,Professionals,Who want to help peoples

Screenshots

rapidgator.net:

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