In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. - Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.

Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book

This two-part issue, edited by Dr. Rathan Subramaniam, reviews current clinical information in "PET/CT and Patient Outcomes." In Part I of this issue, articles will include: Head and Neck Cancer, Lung Cancer, Esophageal Cancer, Breast Cancer, Lymphoma, Melanoma, Prostate Cancer, Multiple Myeloma, Thyroid Cancer, Radiation Therapy Planning, Infection/Inflammation, Colorectal Cancer, and more!

This issue of PET Clinics focuses on Recent Advances in Imaging with PET, CT, and MR Techniques and is edited by Drs. Habib Zaidi, Abass Alavi and Drew A. Torigian. Articles will include: Total-body PET imaging: Developments in instrumentation; Prospects for total-body PET imaging using plastic scintillators; Total-body imaging: Potential clinical applications; New challenges for PET image reconstruction for total-body imaging; Advances in preclinical PET instrumentation; Applications of hybrid PET/MRI in CNS disorders; Applications of hybrid PET-MRI in MSK disorders; Assessment of total body atherosclerosis burden by PET-CT; Recent advances on CT and MR imaging in radiology; Potential impact of Total Body PET imaging in measuring global disease burden in systemic inflammatory disorders; Applications of PET-MRI in CV disorders; and more!

This issue of PET Clinics focuses on Theranostics and is edited by Drs. Ali Gholamrezanezhad and Hojjat Ahmadzadehfar. Articles will include: Good Clinical Practice for Theranostics; Theranostics in Neuroendocrine Tumors; Neuroendocrine Tumors: Imaging Perspective; Prostate Cancer Theranostics: From Target Description to Imaging; Prostate Cancer Theranostics: PSMA-targeted Therapy; Theranostics in Brain Tumors; Theranostics in Neuroblastoma; Theranostics in Thyroid Cancer; and more!

In this issue of PET Clinics, guest editors Drs. Harshad R. Kulkarni and Abass Alavi bring their considerable expertise to the topic of Prostate Cancer. PET imaging for prostate cancer continues to evolve as new radiotracers and imaging modalities are combined. This issue offers an up-to-date review of the most popular radiotracers and how PET imaging is combined with MR, CT, and ultrasound to provide the most accurate diagnosis of prostate cancer. - Contains 12 practice-oriented topics including the role of ultrasound, CT, and MRI in managing patients with prostate cancer; Ga68 PSMA imaging; PET imaging for prostate cancer using F-18 Fluciclovine; PET imaging for prostate cancer using Ga-68 RM2; the role of NaF PET in the imaging of prostate cancer; and more. - Provides in-depth clinical reviews on prostate cancer, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.