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Titlebook: Indolent Lymphomas; Martin Dreyling,Marco Ladetto Book 2021 Springer Nature Switzerland AG 2021 Indolent Lymphomas.Nodal marginal Zone Lym

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書目名稱Indolent Lymphomas
編輯Martin Dreyling,Marco Ladetto
視頻videohttp://file.papertrans.cn/464/463819/463819.mp4
概述Provides a comprehensive overview of current treatment strategies in indolent lymphomas.Places special emphasis on the translation of molecular science into clinical care.Proposes a disease-specific a
叢書名稱Hematologic Malignancies
圖書封面Titlebook: Indolent Lymphomas;  Martin Dreyling,Marco Ladetto Book 2021 Springer Nature Switzerland AG 2021 Indolent Lymphomas.Nodal marginal Zone Lym
描述.This book provides a comprehensive overview of current treatment strategies in indolent lymphomas, the clinical management of which continues to pose significant challenges for the general oncologist despite the tremendous progress in diagnosis, evaluation of risk factors, and molecular targeted approaches. Experts in the field from around the world describe the histomorphology in a clinically relevant manner, consider the role of risk factors in detail, and discuss the full spectrum of therapeutic approaches. Special emphasis is placed on the translation of molecular science into clinical care, and a disease-specific algorithm is proposed for each entity. The coverage encompasses follicular lymphoma, MALT, nodal marginal zone lymphoma, splenic marginal zone lymphoma, Waldenstr?m’s macroglobulinemia, hairy cell leukemia, chronic lymphocytic leukemia, mycosis fungoides, large granular lymphocytic leukemia, and also mantle cell lymphoma. The book will be an excellent resource for experienced and inexperienced practitioners alike..
出版日期Book 2021
關(guān)鍵詞Indolent Lymphomas; Nodal marginal Zone Lymphoma; Splenic Marginal Zone Lymphoma; MALT; Mantle Cell Lymp
版次1
doihttps://doi.org/10.1007/978-3-030-55989-2
isbn_softcover978-3-030-55991-5
isbn_ebook978-3-030-55989-2Series ISSN 2197-9766 Series E-ISSN 2197-9774
issn_series 2197-9766
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Emilio Iannitto,Catherine Thieblemontlet processes and Gaussian processes..This chapter introduces the basics of Bayesian methods, and focuses specifically on two major techniques which have received increasing attention in recent years, thanks to their flexibility, ease of use and computational tractability: Dirichlet processes and Ga
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o improve the robustness of our algorithm with respect to the mammographic systems used and we want to include pathological exams too. Then we want to study and characterize the CNN-extracted features in order to identify the most significant for breast density. Finally, we want to study how to quan
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