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Table 1 Dataset separation considering, approximately, 80%, 10%, 10% ratio, for training, validation, and test of each corresponding k, respectively

From: The value of artificial intelligence for detection and grading of prostate cancer in human prostatectomy specimens: a validation study

k-fold

Class

Train(n) ~ 80%

Val(n) ~ 10%

Test(n) ~ 10%

k = 1

Slides

SC + SD + 

SB

SA

Gleason 3

614

73

69

Gleason 4

2205

271

258

Gleason 5

2801

348

349

k = 2

Slides

SB + SD + 

SA

SC

Gleason 3

593

69

94

Gleason 4

2224

259

251

Gleason 5

2821

352

325

k = 3

Slides

SA + SD + 

SC

SB

Gleason 3

589

94

73

Gleason 4

2185

281

268

Gleason 5

2807

339

352