Cantitate/Preț
Produs

Artificial Intelligence in Urology, An Issue of Urologic Clinics: The Clinics: Surgery, cartea 51-1

Editat de Andrew J Hung
en Limba Engleză Hardback – 8 noi 2023
In this issue of Urologic Clinics of North America, guest editor Dr. Andrew J. Hung brings his considerable expertise to the topic of Artificial Intelligence in Urology. Alongside technological advancements in artificial intelligence (AI), applications of AI in urology have grown tremendously over the last few years. This special issue highlights areas of particular interest, such as radiomics, pathomics, genomics, and surgery. Top experts in the field cover the current status and also preview future applications, aimed at improved patient outcomes.
Citește tot Restrânge

Din seria The Clinics: Surgery

Preț: 63552 lei

Preț vechi: 66898 lei
-5% Nou

Puncte Express: 953

Preț estimativ în valută:
12163 12831$ 10136£

Carte disponibilă

Livrare economică 12-26 decembrie
Livrare express 27 noiembrie-03 decembrie pentru 3718 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780443130359
ISBN-10: 0443130353
Pagini: 240
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.53 kg
Editura: Elsevier
Seria The Clinics: Surgery


Cuprins

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics
Artificial Intelligence and Pathomics: Prostate Cancer
Genomics and Artificial Intelligence: Prostate Cancer
Radiomics and Artificial Intelligence: Renal Cell Carcinoma
Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
Bladder Cancer and Artificial Intelligence: Emerging Applications
Surgical Artificial Intelligence: Endourology
Artificial Intelligence in Pediatric Urology
Surgical Artificial Intelligence in Urology: Educational Applications
Artificial Intelligence in Urology: Current Status and Future Perspectives
Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases