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Tiroid Yaymalarında Malign ve Benign Ayrımı

Classification

Dataset Versions

Versions
2023-10-16 8:38pm
v10
·
a year ago
2023-10-16 8:26pm
v9
·
a year ago
2023-10-11 8:16pm
v8
·
a year ago
2023-10-11 8:12pm
v7
·
a year ago
2023-10-06 8:37pm
v6
·
a year ago
2023-10-06 8:35pm
v5
·
a year ago
2023-09-27 7:46am
v4
·
a year ago
v5

2023-10-06 8:35pm

Generated on Oct 6, 2023
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6748 Total Images

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Dataset Split

Train Set 87%
5904Images
Valid Set 8%
572Images
Test Set 4%
272Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°

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