Results 31 to 40 of about 9,428,499 (297)

Multi-Scale Convolutional Neural Networks for Classification of Digital Mammograms With Breast Calcifications

IEEE Access, 2021
Breast cancer is the most commonly diagnosed cancer in women. Mammography is a widely used tool for breast cancer screening. Breast calcifications appear on mammograms as tiny white spots or grainy dots with a variety of clustering structures which may ...
Chatsuda Songsaeng, Piyanoot Woodtichartpreecha, Sitthichok Chaichulee   +2 more
doaj   +1 more source

Multi-Scale Classification of 3D Objects

, 2018
We describe an approach to the classification of 3-D objects using a multi-scale representation. This approach starts with a smoothing algorithm for representing objects at different scales. Smoothing is applied in curvature space directly, thus avoiding
Dongmei Zhang (5402024), Martial Hebert (5398517)   +1 more
core   +2 more sources

Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

IET Computer Vision, 2019
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He, Siyuan Xing, Xingjian He, Jun Wang, Jianping Fan   +4 more
doaj   +1 more source

Computational fluid dynamics for dense gas-solid fluidized beds: a multi-scale modeling strategy [PDF]

, 2004
Dense gas–particle flows are encountered in a variety of industrially important processes for large scale production of fuels, fertilizers and base chemicals.
van Sint Annaland, M., Hoef, van der, M.A., Kuipers, J.A.M.; id_orcid, van der Hoef, Martin Anton, van der Hoef, M.A., Kuipers, J.A.M., Sint Annaland, van, M.   +6 more
core   +2 more sources

Stakeholder Specific Multi-Scale Spatial Representation of Urban Building-Stocks

ISPRS International Journal of Geo-Information, 2018
Urban building-stocks use a significant amount of resources and energy. At the same time, they have a large potential for energy efficiency measures (EEM).
Magnus Österbring, Liane Thuvander, Érika Mata, Holger Wallbaum   +3 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis

ISPRS International Journal of Geo-Information, 2020
When it comes to feature retention in multi-scale representations of ocean flow fields, not all data points are equal. Therefore, this paper proposes a method of selecting data points based on their importance.
Bo Ai, Decheng Sun, Yanmei Liu, Chengming Li, Fanlin Yang, Yong Yin, Huibo Tian   +6 more
doaj   +1 more source

Multi-scale 3-D Surface Description: Open and Closed Surfaces [PDF]

, 1999
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed automatically and using a local parametrization technique, are then smoothed using a 2-D Gaussian filter. Our
Yuen, P, Farzin Mokhtarian, Nasser Khalili, Mokhtarian, F, Khalili, N, Peter Yuen   +5 more
core  

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

MSDSANet: Multimodal Emotion Recognition Based on Multi-Stream Network and Dual-Scale Attention Network Feature Representation

Sensors
Aiming at the shortcomings of EEG emotion recognition models in feature representation granularity and spatiotemporal dependence modeling, a multimodal emotion recognition model integrating multi-scale feature representation and attention mechanism is ...
Weitong Sun, Xingya Yan, Yuping Su, Gaihua Wang, Yumei Zhang   +4 more
doaj   +1 more source