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Found 5 papers, 1 papers with code
MedDr: Diagnosis-Guided Bootstrapping for Large-Scale Medical Vision-Language Learning
The rapid advancement of large-scale vision-language models has showcased remarkable capabilities across various tasks.
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
Medical report generation has achieved remarkable advancements yet has still been faced with several challenges.
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
Utilizing potent representations of the large vision-language models (VLMs) to accomplish various downstream tasks has attracted increasing attention.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation
Initially, a deep model (nn-UNet) trained on datasets with complete organ annotations (about 220 scans) generates pseudo labels for the whole dataset.
ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention
In this paper we describe our system submitted to SemEval 2020 Task 7: {``}Assessing Humor in Edited News Headlines{''}.
