Slot: description

Brief description of the detaset. Must contain the biological application of the dataset

Applicable Classes

Name	Description	Modifies Slot
Study	General information about the study	no

Properties

Range: String
Required: True

Examples

Value
Accurate quantification of nuclear features is critical for the characterization of tumours. This dataset contains annotated fluorescent images of cell nuclei from a normal human skin cell line, and from different tumour samples from cancer patients. This dataset can be used to train nuclear image segmentation algorithms.
The number of cells in an embryo at early stages of development can be used to understand its viability, however counting cells on DIC images is a challenging task. This dataset contains annotated DIC images of mouse embryos to train machine learning models.

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/BioImage-Archive/bia-mifa-models

LinkML Source

name: description
description: Brief description of the detaset. Must contain the biological application
  of the dataset
examples:
- value: Accurate quantification of nuclear features is critical for the characterization
    of tumours.  This dataset contains annotated fluorescent images of cell nuclei
    from a normal human skin cell line, and from different tumour samples from cancer
    patients.  This dataset can be used to train nuclear image segmentation algorithms.
- value: The number of cells in an embryo at early stages of development can be used
    to understand its viability, however counting cells on DIC images is a challenging
    task.  This dataset contains annotated DIC images of mouse embryos to train machine
    learning models.
from_schema: https://w3id.org/BioImage-Archive/bia-mifa-models
rank: 1000
slot_uri: schema:description
alias: description
domain_of:
- Study
range: string
required: true