Results 81 to 90 of about 61,168 (309)

Blood Vessel Segmentation of Fundus Retinal Images Based on Improved Frangi and Mathematical Morphology. [PDF]

Comput Math Methods Med, 2021
Tian F, Li Y, Wang J, Chen W.
europepmc   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Analysis of Power System Flexibility Regulation Adequacy Based on Mathematical Morphology

Zhongguo dianli
As the proportion of renewable energy in the power system increases, the demand for flexible regulation in the power system also increases. Whether the flexibility resources in the system can meet the regulation demand has become an urgent problem to be ...
Feng ZHANG, Hengjian FAN, Hui DENG, Le FANG, Ziqing ZHOU, Zhiyi LI   +5 more
doaj   +1 more source

Brain extraction using the watershed transform from markers

Frontiers in Neuroinformatics, 2013
Isolation of the brain from other tissue types in magnetic resonance(MR) images is an important step in many types of neuro-imagingresearch using both humans and animal subjects. The importance ofbrain extraction is well appreciated - numerous approaches
Richard eBeare, Richard eBeare, Jian eChen, Jian eChen, Christopher L Adamson, Timothy eSilk, Deanne K Thompson, Deanne K Thompson, Deanne K Thompson, Joseph Y M Yang, Joseph Y M Yang, Vicki A Anderson, Marc L Seal, Amanda G Wood   +13 more
doaj   +1 more source

Application of mathematical morphology operation with memristor-based computation-in-memory architecture for detecting manufacturing defects. [PDF]

Fundam Res, 2022
Zhou Y, Gao B, Zhang Q, Yao P, Geng Y, Li X, Sun W, Zhao M, Xi Y, Tang J, Qian H, Wu H.   +11 more
europepmc   +1 more source

Correction to "A new non-communication based protection scheme for three-terminal transmission lines employing mathematical morphology-based filters" [Jan 13 347-356] [PDF]

, 2013
M. Khodadadi, S. Mohammad Shahrtash
openalex   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

MORPHOLOGICAL IMAGE PROCESSİNG WITH FUZZY LOGIC

Havacılık ve Uzay Teknolojileri Dergisi, 2006
In this paper, fuzzy morpuhological image processing is explained and reviewed. Based on the mathematical morphology rules, fuzzy sets and fuzzy logic theorem fuzzy morphology operations are defined.
Alper Pahsa
doaj  

An Improved Heuristic Optimization Algorithm for Feature Learning Based on Morphological Filtering and its Application

IEEE Access, 2018
Hyperspectral remote sensing sensors can provide plenty of valuable information with hundreds of spectral bands at each pixel. Feature selection and spectral-spatial information play an important role in the field of hyperspectral image (HSI ...
Lishuan Hu, Chengming Qi, Shengjun Chen, Qun Wang   +3 more
doaj   +1 more source

Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method. [PDF]

Sensors (Basel), 2021
Rim B, Lee S, Lee A, Gil HW, Hong M.
europepmc   +1 more source