موارد یافت شده
سبد خرید
  1. انتشارات جعفری نوین
  2. لاتین
  3. مهندسی پزشکی - Medical Engineering
  4. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición هوش مصنوعی و یادگیری ماشین در پردازش تصویر پزشکی دو بعدی/سه بعدی
Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición Taylor & Francis Ltd
Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición Taylor & Francis Ltd Taylor & Francis Ltd  

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición
هوش مصنوعی و یادگیری ماشین در پردازش تصویر پزشکی دو بعدی/سه بعدی

کد کتاب 186626

 Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición

کتاب هوش مصنوعی و یادگیری ماشین در پردازش تصویر پزشکی دو بعدی/سه بعدی

افست = اورجینال
چاپ تمام رنگی
کاغذ 80 گرمی اندونزی
جلد سخت / ته دوخت / سیمی

*بهترین کیفیت افست را از ما بخواهید*

تصاویر دیجیتال دارای چندین مزیت مانند هزینه پردازش سریعتر و ارزان تر، ذخیره سازی و ارتباط آسان، ارزیابی کیفیت فوری، کپی های متعدد با حفظ کیفیت، بازتولید سریع و اقتصادی و دستکاری قابل تطبیق هستند. تصاویر دیجیتال پزشکی نقشی حیاتی در زندگی روزمره دارند. تصویربرداری پزشکی فرآیند تولید تصاویر قابل مشاهده از ساختارهای داخلی بدن برای مطالعه و درمان علمی و پزشکی و همچنین مشاهده عملکرد بافت های داخلی است. این فرآیند شناسایی و مدیریت اختلال را دنبال می کند.

ناشر : Taylor & Francis Ltd ( نمایش همه کتاب های انتشارات Taylor & Francis Ltd )
تعداد صفحه
196
چاپ
رنگی
زبان
انگلیسی
سال نشر
2020
شابک
9780367374358
قطع
رحلی
نویسنده
By (author) Sandeep Kumar - By (author) Shilpa Rani - By (author) K. Ramya Laxmi - Edited by Rohit Raja

خرید Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición

دارای 18% تخفیف  
مقدمه کتاب اطللاعات بیشتر پرسش و پاسخ

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing 1st Edición

کتاب هوش مصنوعی و یادگیری ماشین در پردازش تصویر پزشکی دو بعدی/سه بعدی

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.

Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.

This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.

This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.

FEATURES






Highlights the framework of robust and novel methods for medical image processing techniques



Discusses implementation strategies and future research directions for the design and application requirements of medical imaging



Examines real-time application needs



Explores existing and emerging image challenges and opportunities in the medical field

Product details

  • Hardback | 196 pages
  • 156 x 234 x 17.78mm | 560g
  • CRC Press
  • London, United Kingdom
  • English
  • 24 Tables, black and white; 105 Illustrations, black and white
  • 0367374358
  • 9780367374358