most citedTree species classification from hyperspectral data using graph-regularized neural networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Realistic Data Enrichment for Robust Image Segmentation in Histopathology

Sarah Cechnicka, James Ball, Hadrien Reynaud +3

Poor performance of quantitative analysis in histopathological Whole Slide Images (WSI) has been a significant obstacle in clinical practice. Annotating large-scale WSIs manually i…

cs.CV2022★ 2 cited

Tree species classification from hyperspectral data using graph-regularized neural networks

Debmita Bandyopadhyay, Subhadip Mukherjee, James Ball +3

We propose a novel graph-regularized neural network (GRNN) algorithm for tree species classification. The proposed algorithm encompasses superpixel-based segmentation for graph con…