Utvidet returrett til 31. januar 2025

Information Technology in Biomedicine

Om Information Technology in Biomedicine

Deep Learning Approach to Subepidermal Low Echogenic Band Segmentation in High Frequency Ultrasound.- A Review of Clustering Methods in Microorganism Image Analysis.- MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation.- Deep Learning Approach to Automated Segmentation of Tongue in Camera Images for Computer-Aided Speech Diagnosis.- 3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas.- The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs.- Evaluation of Shape from Shading Surface Reconstruction Quality for Liver Phantom.- Pancreas and Duodenum - Automated Organ Segmentation.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030496654
  • Bindende:
  • Paperback
  • Sider:
  • 386
  • Utgitt:
  • 3. september 2020
  • Utgave:
  • 12021
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 605 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Information Technology in Biomedicine

Deep Learning Approach to Subepidermal Low Echogenic Band Segmentation in High Frequency Ultrasound.- A Review of Clustering Methods in Microorganism Image Analysis.- MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation.- Deep Learning Approach to Automated Segmentation of Tongue in Camera Images for Computer-Aided Speech Diagnosis.- 3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas.- The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs.- Evaluation of Shape from Shading Surface Reconstruction Quality for Liver Phantom.- Pancreas and Duodenum - Automated Organ Segmentation.

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