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There is large consent that successful training of deep networks requires many thousand annotated training samples.
SOTA for Cell Segmentation on PhC-U373
CELL SEGMENTATION COLORECTAL GLAND SEGMENTATION: ELECTRON MICROSCOPY IMAGE SEGMENTATION IMAGE AUGMENTATION LESION SEGMENTATION LUNG NODULE SEGMENTATION MULTI-TISSUE NUCLEUS SEGMENTATION PANCREAS SEGMENTATION RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION SKIN CANCER SEGMENTATION
Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.
SOTA for Breast Tumour Classification on PCam
In many computer vision tasks, we expect a particular behavior of the output with respect to rotations of the input image.
#5 best model for Multi-tissue Nucleus Segmentation on Kumar
A multilevel random forest technique in a hierarchical way is proposed.