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cs.CV2026
FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation
Yukinori Yamamoto, Kazuya Nishimura, Tsukasa Fukusato +3
Deep learning-based 3D medical image segmentation methods relies on large-scale labeled datasets, yet acquiring such data is difficult due to privacy constraints and the high cost…
cs.CV2017★ 1 cited
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato +3
The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data. However, i…