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Advanced image analysis and processing techniques in the medical field / Nikolay V. Matveev.

By: Matveev, Nikolay V [speaker.].
Contributor(s): IGI Global [production company.].
Material type: FilmFilmSeries: Global Video Streaming.Description: 1 streaming video (245 minutes) : sound, colour.Content type: two-dimensional moving image | spoken word Media type: electronic Carrier type: online resourceISBN: 9781466698192.Subject(s): Imaging systems in medicine | Image analysis | Image processing -- Digital techniquesGenre/Form: Educational films.DDC classification: 616.0754 Online resources: Click here to view this ebook.
Contents:
Section 1. Basic concepts of image processing -- Lesson 1. Use of digital images in medicine -- Lesson 2. Medical imaging in the 20th and 21st centuries -- Lesson 3. Use of Excel for simple image manipulations --
Section 2. Digital images and their formats, color representation -- Lesson 4. Pixels and vowels -- Lesson 5. Image processing and possibilities of computer-assisted diagnosis -- Lesson 6. Manipulations with color images in Excel --
Section 3. Basics of image analysis, edge detection -- Lesson 7. Main stages of automated image analysis -- Lesson 8. Brightness and color gradients detection -- Lesson 9. Simple algorithms of edge detection using Excel --
Section 4. Basics of image recognition -- Lesson 10. Basic concepts of image recognition theory -- Lesson 11. Several examples of image recognition -- Lesson 12. Approaches of image recognition using Excel.
Summary: Medical images are a powerful tool in the healthcare sector used to aid in diagnosis, the maintenance of electronic medical records, and telemedicine applications. As medical imaging tools become more sophisticated, the possibilities for their use in the healthcare industry are limitless. Advanced Image Analysis and Processing Techniques in the Medical Field explores essential concepts related to image processing, image analysis, and image recognition as they are applied within a medical context. Laying the foundation upon which further developments in this field can emerge and lead to advancements in medicine, this video is designed for use by medical professionals, technology developers, graduate-level students, and researchers in the field of computer vision and image processing.
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Item type Current location Call number URL Status Date due Barcode
Streaming Video UT Tyler Online
Online
R857.O6 M272 2016 (Browse shelf) https://ezproxy.uttyler.edu/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9819-2 Available ocn944534009

Section 1. Basic concepts of image processing -- Lesson 1. Use of digital images in medicine -- Lesson 2. Medical imaging in the 20th and 21st centuries -- Lesson 3. Use of Excel for simple image manipulations --

Section 2. Digital images and their formats, color representation -- Lesson 4. Pixels and vowels -- Lesson 5. Image processing and possibilities of computer-assisted diagnosis -- Lesson 6. Manipulations with color images in Excel --

Section 3. Basics of image analysis, edge detection -- Lesson 7. Main stages of automated image analysis -- Lesson 8. Brightness and color gradients detection -- Lesson 9. Simple algorithms of edge detection using Excel --

Section 4. Basics of image recognition -- Lesson 10. Basic concepts of image recognition theory -- Lesson 11. Several examples of image recognition -- Lesson 12. Approaches of image recognition using Excel.

Release date: March 2, 2016.

Medical images are a powerful tool in the healthcare sector used to aid in diagnosis, the maintenance of electronic medical records, and telemedicine applications. As medical imaging tools become more sophisticated, the possibilities for their use in the healthcare industry are limitless. Advanced Image Analysis and Processing Techniques in the Medical Field explores essential concepts related to image processing, image analysis, and image recognition as they are applied within a medical context. Laying the foundation upon which further developments in this field can emerge and lead to advancements in medicine, this video is designed for use by medical professionals, technology developers, graduate-level students, and researchers in the field of computer vision and image processing.

Mode of access: World Wide Web.

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