birth defects
Conditions
Interventions
Training set:Convolutional Neural Networks
Sponsors
Obstetrics & Gynecology Hospital of Fudan University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Subjects in the training set and test set groups must meet all of the following criteria. 1) Subjects with complete sociological and clinical information. 2) Undamaged tissue slides with clearly distinguishable chromosome images collected. 3) No comorbid major medical or surgical disease. Training set and test set control subjects must meet all of the following criteria. 1) Subjects with complete sociological and clinical information. 2) Undamaged tissue slides with clearly distinguishable chromosome images collected. 3) No significant medical or surgical disease was observed.
Exclusion criteria
Exclusion criteria: 1) Blurred, unclear images of both sets of chromosomes and severe chromosome crossover. 2) Other conditions that the investigator considers unsuitable for inclusion.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Chromosome classification accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| Type of variables for the input model;Number of variables in the input model;Correlation of variables with classification effects; | — |
Countries
China
Contacts
Public ContactChen Songchang
Obstetrics & Gynecology Hospital of Fudan University
Outcome results
None listed