scholar.google.com › citations
Aug 14, 2012 · The proposed method has been tested on 138 regions extracted from CT scan images acquired from patients with lung cancer. Assuming two classes ...
Missing: vectorization | Show results with:vectorization
Finally, defuzzification was used to estimate the optimal volume. B-scans ... By incorporating intraoperative US imaging, the target volume can be ...
This paper proposes an automated enhancement method using soft fuzzy sets with a new decision-making scheme based on Dempster-Shafer theory of evidence
Nov 15, 2019 · Other scholars apply fuzzy sets, fuzzy operations, or defuzzification techniques to deal with complex and inaccurate quality functional ...
Jun 1, 2022 · A defuzzification operation is one that works with a fuzzy output and transforms it into a definite and decisive crisp value. In contrast, ...
Missing: vectorization radiologic target
Aug 5, 2024 · The last layer is defuzzification layer, transforming fuzzy results into crisp values and obtaining the final results. For example, interval ...
... target dose vector was fuzzy. First, a defuzzying procedure was introduced to change the fuzzy model of the problem into an equivalent non-fuzzy one. Since ...
At this stage the extraction of a crisp set from a fuzzy set, called defuzzification is performed. ... target member and the other three members as vectors 1, 2 ...
Nov 1, 2023 · Topics covered: 00:00 Introduction 00:33 Centre of Sums 04:27 Centre of Largest Area Links ...
Duration: 11:02
Posted: Nov 1, 2023
Duration: 11:02
Posted: Nov 1, 2023
Missing: vectorization radiologic target volumes
Abstract - The review articles mainly discuss about the existing cancer detection techniques like Image. Enhancement Techniques and Image Thresholding ...