Results 41 to 50 of about 4,243,261 (296)
An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering
IEEE Access, 2021 This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information.
Shafiullah Soomro +4 more
doaj +1 more source
Selective Level Set Segmentation Using Fuzzy Region Competition
, 2016 Deformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical image segmentation is yet one of open challenges owing to diversified physiology, pathology, and imaging modalities ...
Li, BN +10 more
core +1 more source
A Shape Prior-Based Active Contour Model for Automatic Images Segmentation
IEEE Access, 2020 Due to the variable shapes of objects, high noise intensity and complex environments, the field of image segmentation still has great challenges. To address these issues, we present a new image segmentation strategy based on active contour model and ...
Xiaoliang Jiang, Jinyun Jiang
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Distance Regularized Level Set Evolution for Medical Image Segmentation [PDF]
, 2013 Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation
Pranowo, Pranowo, Rianto , Indra
core
Modeling of Gate Stack Patterning for Advanced Technology Nodes: A Review
Micromachines, 2018 Semiconductor device dimensions have been decreasing steadily over the past several decades, generating the need to overcome fundamental limitations of both the materials they are made of and the fabrication techniques used to build them.
Xaver Klemenschits +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
, 2023 Investigating the trends and changes in rainfall over vulnerable regions is of huge importance in this global warming era. The present study intensively investigates the rainfall over the Indian state, Andhra Pradesh (AP), and its 13 districts using a ...
Kumar, K.R. Baswanth +5 more
core
Deep Convolutional Level Set Method for Image Segmentation
Journal of ICT Research and Applications, 2017 Level Set Method is a popular method for image segmentation. One of the problems in Level Set Method is finding the right initial surface parameter, which implicitly affects the curve evolution and ultimately the segmentation result.
Agustinus Kristiadi, Pranowo Pranowo
doaj +1 more source