Traditional training data can lead to hallucinations or biased outputs, particularly in socio-economically diverse content.
The identifier refers to the specific article index for a prominent scientific review titled "Deep image captioning: A review of methods, trends and future challenges" , published in the journal Neurocomputing (Volume 546, August 2023).
Metrics like BLEU and ROUGE are used to measure accuracy, but they sometimes struggle to capture the full semantic meaning or clinical relevance of a caption. 126287
The extraction of visual information using models like CNNs or Vision Transformers.
A significant portion of the review and subsequent research citing it (like work on uterine ultrasound captioning ) focuses on "computer-aided diagnosis". Key insights include: Traditional training data can lead to hallucinations or
Deep learning systems are being developed to generate medical reports automatically to reduce doctor workload.
This review provides a systematic and comprehensive analysis of how deep learning models translate visual content into human language, with a particular focus on both general and medical applications. 🔬 Core Components of the Review The extraction of visual information using models like
The review highlights the primary obstacles currently facing researchers in the field: