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SotA/Computer Vision/Cell Segmentation

Cell Segmentation

17 benchmarks178 papers

Cell Segmentation is a task of splitting a microscopic image domain into segments, which represent individual instances of cells. It is a fundamental step in many biomedical studies, and it is regarded as a cornerstone of image-based cellular research. Cellular morphology is an indicator of a physiological state of the cell, and a well-segmented image can capture biologically relevant morphological information.

<span class="description-source">Source: Cell Segmentation by Combining Marker-controlled Watershed and Deep Learning </span>

Benchmarks

Cell Segmentation on Fluo-N2DL-HeLa

SEG (~Mean IoU)

Cell Segmentation on LIVECell

mask APmask AFNRLIVECell TransferabilityLIVECell Extrapolation (A549)LIVECell Extrapolation (A172)

Cell Segmentation on DIC-C2DH-HeLa

SEG (~Mean IoU)

Cell Segmentation on EVICAN

mask APmask AP50

Cell Segmentation on Fluo-N2DH-GOWT1

SEG (~Mean IoU)

Cell Segmentation on Fluo-N2DH-SIM+

SEG (~Mean IoU)

Cell Segmentation on CoNSeP

Average Dice

Cell Segmentation on Fluo-C3DL-MDA231

SEG (~Mean IoU)

Cell Segmentation on MoNuSeg

Average Dice

Cell Segmentation on PanNuke

Average Dice

Cell Segmentation on PhC-C2DH-U373

SEG (~Mean IoU)

Cell Segmentation on STARE

AUC