image processing and machine learning for healthcare
play

Image Processing and Machine Learning for Healthcare Applications - PowerPoint PPT Presentation

Mar 20, 2024 •245 likes •349 views

Image Processing and Machine Learning for Healthcare Applications Chandra Sekhar Seelamantula Assistant Professor Department of Electrical Engineering Indian Institute of Science Bangalore Email: chandra.sekhar@ieee.org December 19, 2011

  1. Image Processing and Machine Learning for Healthcare Applications Chandra Sekhar Seelamantula Assistant Professor Department of Electrical Engineering Indian Institute of Science Bangalore Email: chandra.sekhar@ieee.org December 19, 2011

  2. Outline Medical image segmentation Image processing to enable diagnostics Content-based medical image retrieval

  3. Biological image segmentation

  4. Biological image segmentation

  5. Image analysis for diabetic retinopathy

  6. Medical image segmentation

  7. Image processing for clinical diagnostics (Retinopathy of prematurity) Blood vessels of retina begin to develop 3 months after conception Complete development for normal birth Prematurely born babies → disrupted eye development Vessels grow abnormally → scar tissue → vision loss (five stages) Treatment within 72 hours can help correct matters weight < 1.5 kg, GA < 31 weeks

  8. ROP - Stages Plus disease

  9. Content-based medical image retrieval Medical image database Features specific to the imaging modality Training, classification History extraction and comparison

Recommend

E9 205 Machine Learning for Signal Processing 23-8-17 Outline Basics for Image Processing

E9 205 Machine Learning for Signal Processing 23-8-17 Outline Basics for Image Processing

E9 205 Machine Learning for Signal Processing 23-8-17 Outline Basics for Image Processing Filtering Smoothing Edge Detection Scale Invariant Feature Transform (SIFT) Reference: UCF, Computer Vision Course Link:

599 views • 42 slides
Introduction to Big Data and Machine Learning Image Processing in Python Dr. Mihail October 24,

Introduction to Big Data and Machine Learning Image Processing in Python Dr. Mihail October 24,

Introduction to Big Data and Machine Learning Image Processing in Python Dr. Mihail October 24, 2019 (Dr. Mihail) Intro Big Data October 24, 2019 1 / 17 Image processing Images are 2D numerical arrays Medical imagery such as CTs or MRIs

498 views • 12 slides
GPU Acceleration on Image processing, machine decision, and surgical planning Chang Yu-Wei, Sheu

GPU Acceleration on Image processing, machine decision, and surgical planning Chang Yu-Wei, Sheu

GPU Acceleration on Image processing, machine decision, and surgical planning Chang Yu-Wei, Sheu Wen-Hann b01505025@g.ntu.edu.tw, twhsheu@ntu.edu.tw Acknowledgement : YoungLin Healthcare Foundation Foxconn Hon Hai Technology Group, Ingrasys

434 views • 40 slides
Deep Learning in Image Processing Topics: Image Filtering 101 CNNs 101 Image

Deep Learning in Image Processing Topics: Image Filtering 101 CNNs 101 Image

Deep Learning in Image Processing Topics: Image Filtering 101 CNNs 101 Image Processing Pipelines Frank Dellaert CS 4476 Computer Vision Many slides from Stanfords CS231N by Fei-Fei Li, Justin Johnson, Serena Yeung, as well as

1.46k views • 79 slides
from Image Processing to Machine Learning Dr. Yu-Kun Lai, Cardiff University GAMES webinar

from Image Processing to Machine Learning Dr. Yu-Kun Lai, Cardiff University GAMES webinar

Non-photorealistic Rendering of Images: from Image Processing to Machine Learning Dr. Yu-Kun Lai, Cardiff University GAMES webinar 4/7/2019 Non-Photorealistic Rendering A well researched topic that mimics artistic styles using computer

891 views • 42 slides
Machine Learning for Healthcare 6.S897, HST.S53 Lecture 1: What makes healthcare unique? Prof.

Machine Learning for Healthcare 6.S897, HST.S53 Lecture 1: What makes healthcare unique? Prof.

Machine Learning for Healthcare 6.S897, HST.S53 Lecture 1: What makes healthcare unique? Prof. David Sontag MIT EECS, CSAIL, IMES Outline for todays class 1. Brief history of AI and ML in healthcare 2. Why now ? 3. Examples of machine

708 views • 58 slides
BBM 413 Today Fundamentals of What is image processing? Image Processing What does it

BBM 413 Today Fundamentals of What is image processing? Image Processing What does it

BBM 413 Today Fundamentals of What is image processing? Image Processing What does it mean, to see? Vision as a computational problem Sample image processing problems Erkut Erdem Dept. of Computer Engineering Hacettepe

399 views • 13 slides
E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals 08-08-2018 Instructor - Sriram Ganapathy (sriramg@iisc.ac.in) Teaching Assistant - Akshara Soman (aksharas@iisc.ac.in). Feature Extraction

983 views • 28 slides
E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals 14-08-2017 Instructor - Sriram Ganapathy (sriram@ee.iisc.ernet.in) Teaching Assistant - Aravind Illa (aravindece77@gmail.com). Overview What

644 views • 30 slides
Sparse optimization and machine learning in image reconstruction Aleksandra Pi zurica Group

Sparse optimization and machine learning in image reconstruction Aleksandra Pi zurica Group

Sparse optimization and machine learning in image reconstruction Aleksandra Pi zurica Group for Artificial Intelligence and Sparse Modelling (GAIM) Department Telecommunications and Information Processing Ghent University 2 nd Annual Meeting

821 views • 60 slides
E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals 12-08-2019 Instructor - Sriram Ganapathy (sriramg@iisc.ac.in) Teaching Assistant - Prachi Singh (prachisingh@iisc.ac.in)

345 views • 15 slides
E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals

E9 205 Machine Learning for Signal Processing Introduction to Machine Learning of Sensory Signals 19-08-2019 Instructor - Sriram Ganapathy (sriramg@iisc.ac.in) Teaching Assistant - Prachi Singh (prachisingh@iisc.ac.in)

239 views • 21 slides
Image Processing Todays Class Image Representations: Matrices Image Representations: RGB,

Image Processing Todays Class Image Representations: Matrices Image Representations: RGB,

CS6501: Deep Learning for Visual Recognition Image Processing Todays Class Image Representations: Matrices Image Representations: RGB, HSV, etc Image Processing: Brightness Image Filtering: Mean Filter, Median Filter Image Filtering:

959 views • 77 slides
Introduction: What is Image Processing? CS 4640: Image Processing Basics January 10, 2012 What

Introduction: What is Image Processing? CS 4640: Image Processing Basics January 10, 2012 What

Introduction: What is Image Processing? CS 4640: Image Processing Basics January 10, 2012 What is Image Processing? Definition Image processing is the study of any algorithm that takes an image as input and returns an image as output.

530 views • 16 slides
Interpretable &amp; Transparent Deep Learning Fraunhofer HHI, Machine Learning Group Wojciech

Interpretable &amp; Transparent Deep Learning Fraunhofer HHI, Machine Learning Group Wojciech

Fraunhofer Image Processing Heinrich Hertz Institute Interpretable &amp; Transparent Deep Learning Fraunhofer HHI, Machine Learning Group Wojciech Samek Northern Lights Deep Learning Workshop (NLDL19) Troms, Norway 8th January 2019

1.15k views • 51 slides
PLT Project SIP(Simplified Image Processing) A Language for image processing Why SIP ??

PLT Project SIP(Simplified Image Processing) A Language for image processing Why SIP ??

PLT Project SIP(Simplified Image Processing) A Language for image processing Why SIP ?? Effectively an image processing language. Concept can be extended for videos Features included to make operations on images short and effective

733 views • 12 slides
Overview CS 446 What is machine learning? Machine learning : study of computational

Overview CS 446 What is machine learning? Machine learning : study of computational

Overview CS 446 What is machine learning? Machine learning : study of computational mechanisms that learn from data to make predictions and decisions. 1 / 21 Application 1: image classification Birdwatcher takes photos of birds,

1.08k views • 83 slides
Color image processing The use of color in image processing is primarily motivated by two Image

Color image processing The use of color in image processing is primarily motivated by two Image

Color image processing The use of color in image processing is primarily motivated by two Image Analysis factors: Humans can perceive thousands of colors but only about two Color processing dozen shades of gray. Color is a powerful descriptor

1.05k views • 7 slides
BACKGROUND JOB PROCESSING DO'S AND DON'TS BACKGROUND JOB PROCESSING - DO'S AND DON'TS IMAGE

BACKGROUND JOB PROCESSING DO'S AND DON'TS BACKGROUND JOB PROCESSING - DO'S AND DON'TS IMAGE

CHUCK REEVES @MANCHUCK BACKGROUND JOB PROCESSING DO'S AND DON'TS BACKGROUND JOB PROCESSING - DO'S AND DON'TS IMAGE PROCESSOR UPLOAD IMAGE PROCESS IMAGE ENTERS QUEUE ZendCon 2016 BACKGROUND JOB PROCESSING - DO'S AND DON'TS THE PROBLEM

817 views • 35 slides
Transforming Medicine and Healthcare through Machine Learning and AI Mihaela van der Schaar John

Transforming Medicine and Healthcare through Machine Learning and AI Mihaela van der Schaar John

Transforming Medicine and Healthcare through Machine Learning and AI Mihaela van der Schaar John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine University of Cambridge Alan Turing Institute ML-AIM Group

465 views • 45 slides
Machine Learning for Healthcare 6.871, HST.956 Lecture 5: Learning with noisy or censored labels

Machine Learning for Healthcare 6.871, HST.956 Lecture 5: Learning with noisy or censored labels

Machine Learning for Healthcare 6.871, HST.956 Lecture 5: Learning with noisy or censored labels David Sontag Course announcements No recitation this Friday, but will be an extra office instead (2pm, 1-390) Problem set 1 due Mon Feb 24

419 views • 30 slides
Continuous Delivery for AI applications Machine Learning Significantly improve many applications

Continuous Delivery for AI applications Machine Learning Significantly improve many applications

Continuous Delivery for AI applications Machine Learning Significantly improve many applications on multiple domains natural language image understanding speech recognition autonomy processing deep learning trend in the past 10

677 views • 8 slides
A double-edged sword: Advancements and complications of machine learning in healthcare. Ryan Chu

A double-edged sword: Advancements and complications of machine learning in healthcare. Ryan Chu

A double-edged sword: Advancements and complications of machine learning in healthcare. Ryan Chu Candidate for MHSc in Clinical Engineering Presented for CESO 2019 What is Machine Learning? Branch of artificial intelligence (AI)

763 views • 13 slides
AI IN HEALTHCARE What is Artificial Intelligence (AI)? How is AI different from Machine Learning

AI IN HEALTHCARE What is Artificial Intelligence (AI)? How is AI different from Machine Learning

BRINGING DEEP LEARNING TO ENTERPRISE IMAGING CLINICAL PRACTICE Esteban Rubens Global Enterpris ise Imaging Princip ipal Pure Storage @pureesteban AI IN HEALTHCARE What is Artificial Intelligence (AI)? How is AI different from Machine

552 views • 18 slides

More recommend