Tekijä: Tran Le Huu Nghia (ed.); Binh Chi Bui (ed.); Jasvir Kaur Nachatar Singh (ed.); Vinh N. Lu (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Tran Le Huu Nghia (ed.); Binh Chi Bui (ed.); Jasvir Kaur Nachatar Singh (ed.); Vinh N. Lu (ed.) Kustantaja: Springer (2023) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Bjoern Menze (ed.); Georg Langs (ed.); Le Lu (ed.); Albert Montillo (ed.); Zhuowen Tu (ed.); Antonio Criminisi (ed.) Kustantaja: Springer (2013) Saatavuus: Noin 17-20 arkipäivää
Springer Sivumäärä: 326 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2018, 12.05.2018 (lisätietoa) Kieli: Englanti
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.