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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

“Modern deep learning-based approaches have supplanted traditional approaches in image captioning, leading to more efficient and sophisticated models.” ScienceDirect.com 126287

Translating those visual features into coherent text using architectures like RNNs, LSTMs, and Transformers. 🏥 Focus on Medical Report Generation 126287

The study organizes the "deep image captioning" process by simulating the human experience of describing an image through three specific stages: 126287