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Ovarian Neoplasm Imaging
Saba, Acharya, Guerriero, Suri
Editore
Springer
Anno
2013
Pagine
535
ISBN
9781461486329
150,00 €
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  • About this book

  • Comprehensive collection of information detailing the state-of-the-art in diagnostic imaging of ovarian neoplasm
  • Contributions by leading experts
  • Covers all the imaging techniques, potential for applying such imaging clinically, and offers present and future applications as applied to ovarian pathology

Luca Saba MD, is a researcher in the field of Multi-Detector-Row Computed Tomography, Magnetic Resonance, Ultrasound, Neuroradiology, and Diagnostic in Vascular Sciences. His works, as lead author, achieved more than 120 high impact factor, peer-reviewed Journals. He is well known speaker and has spoken over 45 times at national and international levels. Dr. Saba has won 12 scientific and extracurricular awards during his career.

U Rajendra Acharya, PhD, DEng is is a visiting faculty in biomedical engineering department at the Ngee Ann Polytechnic, Singapore. He is also adjunct professor at the University of Malaya, Malaysia, adjunct faculty at Singapore Institute of Technology - University of Glasgow, Singapore, and associate faculty at Singapore Institute of Management University, Singapore. He has published more than 285 papers, including 178 papers in refereed international SCI-IF (Science Citation Index - Impact Factor) journals, as well as international conference proceedings (48), textbook chapters (62), and books (16).

Stefano Guerriero MD, Born Siracusa (Italy) 10 October 1961. Medical doctor University of Pisa  24 October 1988. Postgraduate in Obstetrics and Gynecology University of Pisa october 1992. His works, as lead author, achieved more than 130 high impact factor, peer-reviewed, Journals as British Medical Journal, Americal Journal of Obstetrics and Gynecology, Fertility and Sterility, Human Reproduction, Journal of Ultrasound in medicine, Menopause, Maturitas, Ultrasound Obstetrics and Gynecology. Until now Associate Professor of obstetrics and Gynecology University of Cagliari.. Editor of Ultrasound in Obstetrics and Gynecology from 2011

Jasjit S. Suri, MS, PhD, MBA is an innovator, visionary, scientist, and an internationally known world leader in the field of Healthcare Imaging and biomedical devices. Dr. Suri was the recipient of Director General’s Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering (AIMBE), awarded by National Academy of Sciences, Washington DC in 2004. Dr. Suri has been the chairman of IEEE Denver section, has won over 50 awards during his career including project, program and regulatory management, and has held several executive positions.

 

Table of contents

Epidemiology.- Histopathology.- Cyst of Follicular origin and Pregnancy Luteoma(CT and MR).-Endometrioma (Clinical Setting & US).- Endometrioma (CT and MR).- Benign Surface.- Epithelial Stromal Tumors (Clinical Setting & US).- Benign Surface Epithelial Stromal Tumors (CT and MR).- Benign Sex Cord - Stromal Tumors (Clinical Setting & US).- BenignSex Cord - Stromal Tumors (CT and MR).- Benign Germ Cell - Stromal Tumors (Clinical Setting & US).- Benign Germ Cell - Stromal Tumors (CT and MR).- Borderline Tumor (SerousMucinousEndometrioid) (Clinical Setting & US).- Borderline Tumor (SerousMucinousEndometrioid) (CT and MR).- Malignant Tumor (SerousMucinousEndometrioid adenocarcinoma) (Clinical Setting & US).- Malignant Tumor (SerousMucinousEndometrioid adenocarcinoma) (CT and MR).- Rare Malignant Tumor (Clear cell adenocarcinoma, transitional cell carcinoma, malignant Brenner Tumor) (Clinical Setting & US).- Rare Tumor (Clear cell adenocarcinoma, transitional cell carcinoma, malignant Brenner Tumor) (CT and MR).- Malignant Sex Cord - Stromal Tumors (Clinical Setting & US).- Malignant Sex Cord - Stromal Tumors (CT and MR).- Malignant Germ Cell - Stromal Tumors (Clinical Setting & US).- Malignant Germ Cell - Stromal Tumors (CT and MR).- Metastatic tumors (Clinical Setting & US).- Metastatic tumors (SerousMucinousEndometrioid) (CT and MR).- 3D Ultrasonography.- Ovarian Tumor Characterization and classification using ultrasound : A new on-line paradigm.- Ovarian Tumor Characterization using 3D ultrasound.- Evolutionary Algorithm based Classifier Parameter Tuning for automatic Ovarian Cancer tissue characteization and Classification.- CT/PET.- Contrast-enhanced transvaginal sonography for early detection of ovarian cancer.- Molecular imaging.- Index.

 

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