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Few-shot Learning을 통한 흉부 엑스레이 질병 분류

MIMIC-CXR 데이터셋과 CLIP을 이용한 구조화된 임상적 소견 예측

Dataset

Method

FlexR (Few-shot classification with Language Embeddings for chest X-ray Reporting)

1단계. CLIP (Contrastive Language-Image Pretraining)

encoder model
image encoder ResNet50
text encoder Transformer

2단계. Language embeddings of clinical findings

3단계. Fine-tuning the classifier

Demo

https://cxr-fsc.streamlit.app/

Teammate - R&R

Deep Daiv. M3

정수미 김예린 홍재령
1단계 2단계 3단계

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Few-shot Classification for Chest X-ray diagnosis

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  • Jupyter Notebook 93.6%
  • Python 6.4%