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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:
  • Engelska
  • ISBN:
  • 9783030496654
  • Format:
  • Häftad
  • Sidor:
  • 386
  • Utgiven:
  • 3. september 2020
  • Utgåva:
  • 12021
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 605 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 19. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning 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.

Användarnas betyg av Information Technology in Biomedicine



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