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Titlebook: Uterine Cancer; Diagnosis and Treatm Shalini Rajaram,Chitrathara K,Amita Maheshwari Book 2015 Springer India 2015 Endometrial cancer.Famili

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书目名称Uterine Cancer
副标题Diagnosis and Treatm
编辑Shalini Rajaram,Chitrathara K,Amita Maheshwari
视频video
概述Covers both carcinomas and sarcomas.Six sections dealing with epidemiology, molecular aspects, familial cancers, pathology, diagnosis, imaging techniques and comprehensive management.Covers surgical m
图书封面Titlebook: Uterine Cancer; Diagnosis and Treatm Shalini Rajaram,Chitrathara K,Amita Maheshwari Book 2015 Springer India 2015 Endometrial cancer.Famili
描述Uterine cancers are the commonest malignancies of the female genital tract in the developed world, and are increasing in numbers world over because of obesity and other life-style changes. Many of these malignancies are hereditary and thus, a better understanding of the genetic and molecular biology is needed. This would lead to appropriate treatment plan for improving the quality of life and long-term survival. This book addresses, in depth, all aspects of uterine malignancies covering both carcinomas and sarcomas. The book is divided into seven sections; the first two sections deal with epidemiology, molecular aspects, familial cancers and pathology and the later sections focus on diagnosis, imaging techniques and comprehensive management of both early stage and advanced cancers. Surgical techniques, adjuvant chemotherapy and radiotherapy have been covered in detail. Apart from the open surgical methods, role of laparoscopy and emerging role of robotic surgery in the contemporary management of endometrial cancers have been discussed. Written by authors with expertise in the field of gynecologic oncology from premier institutes, this book provides up-to-date information on best pr
出版日期Book 2015
关键词Endometrial cancer; Familial endometrial cancer; Recurrent endometrial cancer; Stage II endometrial can
版次1
doihttps://doi.org/10.1007/978-81-322-1892-0
isbn_softcover978-81-322-3451-7
isbn_ebook978-81-322-1892-0
copyrightSpringer India 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-642-91323-5rection was also applied to improve accuracy of vegetation boundaries lately. At last, the construction of vegetation polygons was validated by manual visual interpretation with field investigation. The result showed, although the accuracy of automated construction of vegetation polygons was 81.5%,
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