Medical Image Segmentation by Deep Learning: Application Case to Brain Tumors with an Optimized U-Net Architecture

  • الفئة :

      كتب علمية
  • الإسم الكامل للمؤلف (ين):

      Dr. MERATI Medjeded
  • الرقم الدولي المعياري للكتاب (ISBN) :

      978-9969-05-936-6
  • عدد الصفحات :

      76
  • الميدان :

      إعلام آلي



: ملخص

This book tackles a key problem in brain cancer diagnosis by introducing a refined version of the well-known U-Net model. The method extends the architecture developed by M. Merati, A. Z. Lebani, and S. Mahmoudi, which reached a Dice score of 95.82% and an IoU of 99.61%. These results surpass the standard U-Net and other reported models.



الفهرس :

Part I: Introduction to the medical and technical context
Chapter 1: Clinical Challenges of Brain Tumor Segmentation
Chapter 2: State of the art in medical image segmentation
Part II: Methodological Foundations
Chapter 3: Data Preparation and Augmentation

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