Multiplicative Calculus in Biomedical Image Analysis
نویسندگان
چکیده
منابع مشابه
Biomedical Image Analysis: Tracking
Biomedical Image Analysis: Tracking #1598290185, 9781598290189 #Morgan & Claypool Publishers, 2006 #2006 #Scott T. Acton, Nilanjan Ray #144 pages Biomedical Image Analysis: Tracking addresses methods for extracting image information from biological/medical images for use in tracking biological targets. Here, and in the forthcoming companion Biomedical Image Analysis: Segmentation (Morgan & Clay...
متن کامل(Hyper)-graphical models in biomedical image analysis
Computational vision, visual computing and biomedical image analysis have made tremendous progress over the past two decades. This is mostly due the development of efficient learning and inference algorithms which allow better and richer modeling of image and visual understanding tasks. Hyper-graph representations are among the most prominent tools to address such perception through the casting...
متن کاملFuzzy Logic Applied to Biomedical Image Analysis
Ever since Zadeh established the basis of fuzzy logic in his famous article Fuzzy Sets (Zadeh, 1965), an increasing number of research areas have used his technique to solve and model problems and apply it, mainly, to control systems. This proliferation is largely due to the good results in classifying the ambiguous information that is typical of complex systems. Success in this field has been ...
متن کاملFuzzy Logic Applied to Biomedical Image Analysis
Ever since Zadeh established the basis of fuzzy logic in his famous article Fuzzy Sets (Zadeh, 1965), an increasing number of research areas have used his technique to solve and model problems and apply it, mainly, to control systems. This proliferation is largely due to the good results in classifying the ambiguous information that is typical of complex systems. Success in this field has been ...
متن کاملDeep Learning for Biomedical Texture Image Analysis
This paper shows promising results in the application of Convolutional Neural Networks (CNN) to biomedical imaging. Texture is often dominant in biomedical imaging and its analysis is essential to automatically obtain meaningful information. Therefore, we introduce a method using a Texture CNN for the classification of biomedical images. We test our approach on three datasets of liver tissues i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2011
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-011-0275-1