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Table 3 Development and validation sets.

From: Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo

Development set

Validation set

Experiment

Correct

Incorrect

Total

Experiment

Correct

Incorrect

Total

081305

356

59

415

083005xx

366

36

402

081505

323

83

406

083105

323

47

370

081905

317

105

422

083105xx

325

40

365

081905xx

368

52

420

090105

337

73

410

082005

294

107

401

090205

331

75

406

082205

304

53

357

090205yy

393

31

424

090405

320

91

411

090305xx

353

29

382

090905xx

308

36

344

090605xx

275

50

325

082505

406

37

443

090705

362

34

396

082605

397

31

428

081405

366

30

396

Sum

3393

654

4047

Total

3431

445

3876

  1. For each experimental series, the table lists the total number of division calls made by StarryNite ("Total") as well as the number of those calls that are actually divisions ("Correct") and that are erroneous annotations ("Incorrect")
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BMC Bioinformatics

ISSN: 1471-2105

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