Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings (Communications in Computer and Information Science)
暫譯: 醫學影像理解與分析：第21屆年會，MIUA 2017，英國愛丁堡，2017年7月11日至13日，會議論文集（計算機與資訊科學通訊）
- 出版商: Springer
- 出版日期: 2017-06-23
- 售價: $5,700
- 貴賓價: 9.5 折 $5,415
- 語言: 英文
- 頁數: 950
- 裝訂: Paperback
- ISBN: 3319609637
- ISBN-13: 9783319609638
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
商品描述(中文翻譯)
本書為第21屆醫學影像理解與分析年會（MIUA 2017）的經過審稿的會議論文集，該會議於2017年7月在英國愛丁堡舉行。
所呈現的82篇修訂完整論文是從105篇投稿中仔細審核和選出的。這些論文按主題分為幾個部分，包括視網膜影像、超聲影像、心血管影像、腫瘤影像、乳腺攝影影像分析、影像增強與對齊、臨床前、身體及組織學影像的建模與分割、特徵檢測與分類。
章節「基於模型的數位組織學影像分割錯誤修正」和「基於無監督超像素的組織病理影像共識聚類分割」在CC BY 4.0許可下開放存取。
