Medical Cell Segmentation - 1.4.1 English

Vitis AI Library User Guide (UG1354)

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1.4.1 English

The nucleus is an organelle present within all eukaryotic cells, including human cells. Abberant nuclear shape can be used to identify cancer cells, for example, pap smear tests for the diagnosis of cervical cancer. Medical segmentation cell models offer nuclear segmentation in digital microscopic tissue images which can enable extraction of high quality features for nuclear morphometric and other analyses in computational pathology. The following images show the results of cell segmentation.

Figure 1. Medical Cell Segmentation Examples

The following table lists the Medical Cell Segmentation models supported by the Vitis AI Library.

Table 1. Medical Cell Segmentation Models
No Model Name Framework
1 medical_seg_cell_tf2 TensorFlow