Results 141 to 150 of about 3,600 (211)

Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]

Sci Rep
Imani M.
europepmc   +1 more source

A multi-agentic framework for real-time, autonomous freeform metasurface design. [PDF]

Sci Adv
Lupoiu R, Shao Y, Dai T, Mao C, Edée K, Fan JA.   +5 more
europepmc   +1 more source

Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]

Sci Rep
Li A.
europepmc   +1 more source

A Graph-Based Superpixel Segmentation Approach Applied to Pansharpening. [PDF]

Sensors (Basel)
Hallabia H.
europepmc   +1 more source

SPX-GNN: An Explainable Graph Neural Network for Harnessing Long-Range Dependencies in Tuberculosis Classifications in Chest X-Ray Images. [PDF]

Diagnostics (Basel)
Pala MA, Navdar MB.
europepmc   +1 more source

Photobleaching-based autofluorescence mapping reveals distinct patterns in sporadic basal cell carcinoma, nevoid basal cell carcinoma syndrome-associated basal cell carcinoma and squamous cell carcinoma. [PDF]

Front Med (Lausanne)
Plorina EV, Lihacova I, Boostani M, Bozsányi S, Kiss N, Bliznuks D, Skrastina M, Lihachev A.   +7 more
europepmc   +1 more source

Superpatching for Image Analysis Using Transformers and Superpixels

Transformers have revolutionized Computer Vision, offering robust performance across diverse tasks. However, their reliance on uniform pixel patching presents limitations, including computational inefficiency for larger images, suboptimal handling of ...
McCutcheon, Brannon Brannon
core  

Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma. [PDF]

World J Radiol
Chowdhury U, Mahajan AA, Kavitha MS, Rajendran RL, Gangadaran P, Ahn BC.   +5 more
europepmc   +1 more source

Dynamic-budget superpixel active learning for semantic segmentation. [PDF]

Front Artif Intell
Wang Y, Stavness I.
europepmc   +1 more source

Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images. [PDF]

BMC Med Imaging
Yoo JJ, Namdar K, Khalvati F.
europepmc   +1 more source