Fast Nearest Neighbor Search in Medical Image Databases
Summary: Maps tumor shapes to n-D space via pattern spectrum; uses an R-tree with L∞ lower-bounds to guarantee no false dismissals for range/NN queries. Nearest-neighbor search with safe pruning and a 27× speedup over brute force; validated on tumor data. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 48 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.0006954126 |
| 3,549 | Fast Parallel Similarity Search in Multimedia Databases | 1997 | SIGMOD | 6.9792126e-05 |
| 1,290 | Content-Based Image Indexing | 1994 | VLDB | 0.00012774326 |
| 301 | The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries | 1997 | SIGMOD | 0.00028396714 |
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076824554 |
| 798 | Optimal Multi-Step k-Nearest Neighbor Search | 1998 | SIGMOD | 0.00016484637 |
| 3,062 | Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbor Searches | 2000 | VLDB | 7.6348035e-05 |
| 707 | Near Neighbor Search in Large Metric Spaces | 1995 | VLDB | 0.00017770532 |
| 5,889 | Improving Adaptable Similarity Query Processing by Using Approximations | 1998 | VLDB | 5.2842168e-05 |
| 8,200 | Efficient Geometry-based Similarity Search of 3D Spatial Databases | 1999 | SIGMOD | 4.5556029e-05 |