Muutke küpsiste eelistusi

E-raamat: VipIMAGE 2019: Proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal

  • Formaat - EPUB+DRM
  • Hind: 159,93 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book gathers full papers presented at the VipIMAGE 2019—VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing—held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.

Colonic Polyp Identification Using Pareto Depth Anomaly Detection
Algorithm.- Comparative Study of Dermoscopic Hair Removal Methods.- Lower
Limb Joint Angle Coordination Assessment at Sagittal Plane on Human Vertical
Countermovement.- Biometric Identication Based on Forearm Vein Pattern.-
Cross Recurrence Quantitative Analysis of Functional Magnetic Resonance
Imaging.- Automatic Segmentation and Delineation of Intervertebral Discs on
Lumbar Spine MR Images.- A Hybrid Approach For Breast Mass Categorization.-
Skin Disease Diagnosis from Photographs Using Deep Learning.- Prediction of
the Childs Head Growth in the First Year of Life.- Influence of Mutual
Rotation of Polarizing Filters on Light Intensity Measured With Collagen
Fibres.- Automatic Extraction of Marbling Measures Using Image Analysis, for
Evaluation of Beef Quality.- Layer Thickness Evaluation Between Medical
Imaging and Additive Manufacturing.