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).
Deep learning systems are being developed to generate medical reports automatically to reduce doctor workload.
Using attention mechanisms to identify the most relevant parts of an image for a specific description. 126287
Experts and researchers emphasize the practical difficulties and recent breakthroughs in applying these deep reviews to real-world medical data.
There is a critical need to bridge the "visual-pathological gap," as many standard models lack the ability to accurately describe pathological locations. The identifier refers to the specific article index
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
Translating those visual features into coherent text using architectures like RNNs, LSTMs, and Transformers. 🏥 Focus on Medical Report Generation 🔬 Core Components of the Review Translating those
Newer models like JAGAN (Joint Attention Generative Adversarial Nets) are introduced to ensure that the generated text maintains a professional "clinical language style". 📊 Key Challenges & Metrics