Deep Learning Models for Medical Imaging (häftad)
Fler böcker inom
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
170
Utgivningsdatum
2021-09-08
Förlag
Academic Press
Medarbetare
Das, Nibaran / Ghosh, Swarnendu
Illustrationer
Black & white illustrations
Dimensioner
235 x 190 x 9 mm
Vikt
304 g
Antal komponenter
1
Komponenter
3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam
ISBN
9780128235041
Deep Learning Models for Medical Imaging (häftad)

Deep Learning Models for Medical Imaging

av Kc Santosh
Häftad,  Engelska, 2021-09-08
1049

10% rabatt på allt med kod LUCIA23 i kassan

Gäller t.o.m. 13 december. Villkor

Köp
Spara som favorit
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Deep Learning Models for Medical Imaging Kan tyvärr inte levereras innan julafton.
Köp ett presentkort istället.
Finns även som
Visa alla 1 format & utgåvor
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists.

  • Provides a step-by-step approach to develop deep learning models
  • Presents case studies showing end-to-end implementation (source codes: available upon request)
Visa hela texten

Passar bra ihop

  1. Deep Learning Models for Medical Imaging
  2. +
  3. Elon Musk

De som köpt den här boken har ofta också köpt Elon Musk av Walter Isaacson (inbunden).

Köp båda 2 för 1378 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Kc Santosh

Visa alla böcker av Kc Santosh »

Övrig information

Prof. KC Santosh is the Chair of the Department of Computer Science at the University of South Dakota (USD). Before joining USD, Prof. Santoshworked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He was a postdoctoral research scientist at the LORIA research centre (with industrial partner, ITESOFT (France)). He has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing and data mining with applications, such as medical imaging informatics, document imaging, biometrics, forensics, and speech analysis. His research projects are funded by
multiple agencies, such as SDCRGP, Department of Education, National Science Foundation, and Asian Office of Aerospace Research and Development. He is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019), and the Ignite Award from the U.S. Department Nibaran Das received his B.Tech degree in Computer Science and Technology from Kalyani Govt. Engineering College under KalyaniUniversity, in 2003. He received his M.C.S.E. degree from Jadavpur University, in 2005. He received his Ph.D. (Engg.) degree thereafter from Jadavpur University, in 2012. He joined J.U. as a lecturer in 2006. His areas of current research interest are OCR
of handwritten text, optimization techniques, image processing, and deep learning. He has been an editor of Bengali monthly magazine Computer Jagat since 2005. Swarnendu Ghosh is an Assistant Professor at Adamas University in the department of Computer Science and Engineering. He received his B.Tech degree in Computer Science and Engineering from West Bengal University of Technology, in 2012. He received his Masters in Computer Science and Engineering from Jadavpur University, in 2014. He has been a doctoral fellow under the Erasmus Mundus Mobility with Asia at University of Evora, Portugal. Currently he is continuing his Ph.D. on Computer Science and Engineering at Jadavpur University. His area of interest is deep learning, graph based learning, and knowledge representation.

Innehållsförteckning

1. Introduction 2. Deep learning: a review 3. Deep learning models 4. Cytology image analysis 5. COVID-19: prediction, screening, and decision-making

Du kanske gillar