Altchek's Diagnosis and Management of Ovarian Disorders

doi:10.1017/CBO9781139003254

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Sachin, K.B. and Puviarasi, R. 2025. Efficient method for analyzing the performance of AlexNet compared to convolution neural network in fallopian tube tumor analysis. Vol. 3270, Issue. , p. 020119.

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3rd edition
Edited by Liane Deligdisch, Mount Sinai School of Medicine, New York, Nathan G. Kase, Mount Sinai School of Medicine, New York, Carmel J. Cohen, Mount Sinai School of Medicine, New York

Publisher:: Cambridge University Press
Online publication date:: August 2013
Print publication year:: 2013
Online ISBN:: 9781139003254
DOI:: https://doi.org/10.1017/CBO9781139003254

Subjects:: Oncology, Obstetrics and Gynecology, Reproductive Medicine, Medicine

US$242.00

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Disorders of the ovary can lead to a wide range of endocrinologic and malignant conditions, many of which are linked with fertility. This comprehensive, yet succinct book presents a multidisciplinary approach to address the major issues in diagnosing and managing ovarian disorders. Beginning with the complex functioning of the normal ovary, the editors address many of the major issues in women's health. New chapters on ovarian cysts, menopause, the aging ovary, early detection and risk assessment of ovarian cancer, screening, stage I ovarian cancer and many other topics have been added to this third edition. Assisted reproductive techniques, diagnostic imaging modalities, minimally invasive surgery, and chemotherapy have advanced dramatically and the chapters have been updated accordingly. This well-documented volume has been fully updated with contemporary references and chapters written by current leaders in their field. A must-read for gynecologists, oncologists, obstetricians, pathologists and researchers in human reproductive sciences.

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