Medical Image Recognition, Segmentation and Parsing (häftad)
Fler böcker inom
Format
EPUB
Språk
Engelska
Serie
MICCAI Society book Series
Utgivningsdatum
2015-12-02
Förlag
Elsevier Science Publishing Co Inc
Dimensioner
236 x 196 x 33 mm
Vikt
1317 g
ISBN
9780128025819

Medical Image Recognition, Segmentation and Parsing

Machine Learning and Multiple Object Approaches

av S Kevin Zhou, S Kevin Zhou
EPUB,  Engelska, 2015-12-02
1386
Köp
Spara som favorit
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms
Visa hela texten

Passar bra ihop

  1. Medical Image Recognition, Segmentation and Parsing
  2. +
  3. Abundance

De som köpt den här boken har ofta också köpt Abundance av Ezra Klein, Derek Thompson (häftad).

Köp båda 2 för 1620 kr

Kundrecensioner

Sätt ditt betyg »

Fler böcker av författarna

Övrig information

S. Kevin Zhou, PhD is dedicated to research on medical image computing, especially analysis and reconstruction, and its applications in real practices. Currently, he is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC) and directs the Center for Medical Imaging, Robotics, Analytic Computing and Learning (MIRACLE). Dr. Zhou was a Principal Expert and a Senior R&D Director at Siemens Healthcare Research. He has been elected as a fellow of AIMBE, IAMBE, IEEE, MICCAI and NAI and serves the MICCAI society as a board member and treasurer..

Du kanske gillar