ML Fitted Hb Data: Optical Properties of Tissue Phantoms

Extracted optical properties of tissue phantoms using a neural network-based inverse model. The data includes fitted diffuse reflectance and extracted optical coefficients. It was created by Qing Lan at the National Institutes of Health.

Use Cases

• Validate neural network-based inverse models based on fitted diffuse reflectance data.
• Analyze the relationship between optical coefficients based on extracted mua and mus.
• Benchmark optical property extraction methods based on fitted phantom data.

Strengths

• Data originates from the National Institutes of Health, suggesting a credible source.
• The description specifies the use of a neural network-based inverse model, indicating a modern computational approach.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

National Institutes of Health

Collection Method

Extracted using a neural network-based inverse model from phantom data.