seg_synapse_nri — EMPROOF `wiring` op

• データ種: labels2d × labels2d × table → table

• 呼び出し: import fullseye as fs; fs.ledger.seg_synapse_nri(a, b, synapses, spacing=None, background=0) (実装を直接呼ぶなら import segcompare; segcompare.seg_synapse_nri(a, b, synapses, spacing=None, background=0)、台帳から引くなら opsemproof.get("seg_synapse_nri"))

使い方

Neural reconstruction integrity (Reilly et al. 2018) of candidate `b against truth a`.

NRI scores the pairs of synapse ends that a reconstruction keeps together. Over the

`2n ends (synapses as in :func:seg_synapse_partners; ends on background` in

the truth are dropped, ends on background in the candidate are singletons), a pair of

ends that lies in one truth neuron and one candidate object is a true positive; a

pair in one truth neuron but different candidate objects is a false negative (a split);

a pair in one candidate object but different truth neurons is a false positive (a

merge). `nri = 2TP / (2TP + FP + FN) with the pair precision and recall`.

Identity (checked inside, fail-closed): with `n_ij` the contingency table of the ends,

`TP = sum C(n_ij, 2), TP + FN = sum C(s_i, 2), TP + FP = sum C(t_j, 2)`, so NRI

is exactly `1 - adapted_rand_error of :func:seg_rand` taken over the ends (the

`- N form of the pair counts is 2 C(n, 2)`). Both are computed and must agree to

1e-12. Returns `nri, precision, recall, tp, fp, fn, n_ends`.

Raises `ValueError: as :func:seg_wiring_variation`; fewer than 2 ends.

詳しい使い方ガイド

• emproof ファミリガイド

参考(サンプルデータ・文献)

• サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_em_wiring_errors — py -3.11 examples/poc_em_wiring_errors.py

型が繋がる次の op(`table` を入力に取れる)

seg_synapse_partners · seg_wiring_variation · seg_wiring_exposure

同カテゴリ(`wiring`)

seg_synapse_partners · seg_wiring_variation · seg_wiring_exposure

*Provenance: segcompare.py — EMPROOF operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

seg_synapse_nri — EMPROOF wiring op

使い方