Téléchargez le livre : Deep Learning Applications in Medical Image Segmentation

Deep Learning Applications in Medical Image Segmentation

Overview, Approaches, and Challenges de

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Wiley-IEEE Press


Paru le : 2025-01-03

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Description

Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation
Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. The potential for deep learning, a technology which is already revolutionizing practice across hundreds of subfields, is immense. The prospect of using deep learning to address the traditional shortcomings of image segmentation demands close inspection and wide proliferation of relevant knowledge.
Deep Learning Applications in Medical Image Segmentation meets this demand with a comprehensive introduction and its growing applications. Covering foundational concepts and its advanced techniques, it offers a one-stop resource for researchers and other readers looking for a detailed understanding of the topic. It is deeply engaged with the main challenges and recent advances in the field of deep-learning-based medical image segmentation.
Readers will also find: Analysis of deep learning models, including FCN, UNet, SegNet, Dee Lab, and many moreDetailed discussion of medical image segmentation divided by area, incorporating all major organs and organ systemsRecent deep learning advancements in segmenting brain tumors, retinal vessels, and inner ear structuresAnalyzes the effectiveness of deep learning models in segmenting lung fields for respiratory disease diagnosisExplores the application and benefits of Generative Adversarial Networks (GANs) in enhancing medical image segmentationIdentifies and discusses the key challenges faced in medical image segmentation using deep learning techniquesProvides an overview of the latest advancements, applications, and future trends in deep learning for medical image analysis
Deep Learning Applications in Medical Image Segmentation is ideal for academics and researchers working with medical image segmentation, as well as professionals in medical imaging, data science, and biomedical engineering.
Pages
320 pages
Collection
n.c
Parution
2025-01-03
Marque
Wiley-IEEE Press
EAN papier
9781394245338
EAN PDF
9781394245352
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
320
Taille du fichier
5325 Ko
Prix
156,98 €
EAN EPUB
9781394245345
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
320
Taille du fichier
16026 Ko
Prix
156,98 €

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