We performed a t-distributed stochastic neighbor embedding (t-SNE) dimensionality reduction on all deep learning features obtained by the different feature extraction networks and counted the true positives, false positives, true negatives, and false negatives for each patient (Table 1). In addition,...
OPENAI_API_KEY REQUIRED - Only if LLM=gpt-4 or LLM=gpt-3.5 or embedding_model=openai LANGCHAIN_ENDPOINT "https://api.smith.langchain.com" OPTIONAL - URL to Langchain Smith API LANGCHAIN_TRACING_V2 false OPTIONAL - Enable Langchain tracing v2 LANGCHAIN_PROJECT OPTIONAL - Langchain project...