Results 61 to 70 of about 1,467,653 (327)
An effective dual encoder network with a feature attention large kernel for building extraction
Geocarto InternationalTransformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN + Transformer models, limiting performance.
Shaobo Qiu +3 more
doaj +1 more source
Privacy-Preserving Collaborative Learning through Feature Extraction [PDF]
, 2022 Alireza Sarmadi +4 more
openalex +1 more source
Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig +13 more
wiley +1 more source
Texture Feature Extraction by Using Local Binary Pattern [PDF]
, 2015 Local Binary Pattern (LBP) is a method that used to describe texture characteristics of the surfaces. By applying LBP, texture pattern probability can be summarised into a histogram. LBP values need to be determined for all of the image pixels.
Prakasa, E. (Esa)
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Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
TSFEL: Time Series Feature Extraction Library
SoftwareX, 2020 Time series feature extraction is one of the preliminary steps of conventional machine learning pipelines. Quite often, this process ends being a time consuming and complex task as data scientists must consider a combination between a multitude of domain
Marília Barandas +8 more
doaj +1 more source
On a shape adaptive image ray transform
, 2013 A conventional approach to image analysis is to perform separately feature extraction at a low level (such as edge detection) and follow this with high level feature extraction to determine structure (e.g.
Ah Reum, Oh, Nixon, Mark S.
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction
Scientific ReportsIn existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
doaj +1 more source
Nonparametric Feature Extraction from Dendrograms
, 2019 We propose feature extraction from dendrograms in a nonparametric way. The Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that ...
Chehreghani, Morteza Haghir +1 more
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