Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis

Medical Imaging and Computer-Aided Diagnosis
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Inhaltsangabe

.- 1 Oral Cancer Classification using a Hybrid Attention-aided Deep Learning Model.- 2 Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics.- 3 Improving Knee Osteoarthritis Detection through a Multitask Learning Method from 2D MRI Slices.- 4 Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study, etc.

Produktdetails
  • Erscheinungsdatum: 03.04.2025
  • Autor/Autorin: Ruidan Su
  • Reihe: Lecture Notes in Electrical Engineering
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 108.6 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 592 Seiten
  • ISBN: 9789819638635
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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This book share insights into extracting and understanding more information from medical images, which drives the need for new and innovative solutions. The combination of digital image processing and computer vision has led to the development of computer-aided diagnosis (CAD), a key tool in disease analysis. The 2025 International Conference on Medical Imaging and Computer-Aided Diagnosis warmly welcomes researchers, scholars, engineers, scientists, industry professionals, and graduate students working in these areas. It offers a platform to share ideas, encourage interdisciplinary collaboration, and promote progress in medical imaging and CAD. Through engaging formats such as poster sessions and oral presentations, participants will gain valuable insights, showcase the latest advancements, build meaningful connections, and explore future applications.

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