[1]
“SpecTralUNetFormer: Advancing Hyperspectral Medical Image Segmentation through Spectral-Spatial-Attentive Learning”, Int. J. Environ. Sci., pp. 1320–1331, Jul. 2025, doi: 10.64252/p7r1jx05.