Precise and Quantitative Chlorosis Severity Assessment Framework (PQCSAF) using evolutionary superpixels. [PDF]
Samanta S, Pratihar S, Chatterji S.
europepmc +1 more source
A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images. [PDF]
Wen S, Zhang D, Lei Y, Yang Y.
europepmc +1 more source
Dual-Branch Superpixel and Class-Center Attention Network for Efficient Semantic Segmentation. [PDF]
Zhang Y +5 more
europepmc +1 more source
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues. [PDF]
Yuan M +23 more
europepmc +1 more source
Trainable superpixel segmentation
Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image features. This project provides an underlying library that can be used independently, a graphic interface for ease of use and an ...
openaire +1 more source
Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Imani M.
europepmc +1 more source
A multi-agentic framework for real-time, autonomous freeform metasurface design. [PDF]
Lupoiu R +5 more
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]
Pala MA, Navdar MB.
europepmc +1 more source
A Graph-Based Superpixel Segmentation Approach Applied to Pansharpening. [PDF]
Hallabia H.
europepmc +1 more source
Dynamic-budget superpixel active learning for semantic segmentation. [PDF]
Wang Y, Stavness I.
europepmc +1 more source

