Table 1 Details of three datasets and augmentation Dataset details extracted from publicly available medical image repositories.

From: Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images

No. of Datasets

No. of Images

Types of Images

Viewing Orientation

Patch-Based Training Samples

Patch-Based Validation Samples

Testing Images

DRIVE

40

JPEG

45

180,000

20,000

20 images

STARE

20

PPM

35

90,000

10,000

10 images

CHASEDB1

28

TIFF

30

140,000

10,000

14 images