TECHO LAB: IMAGE CAPTIONING IN CHEST X-RAY BY USING CNN AND LSTM

Registration ID: IJNRD_195999

Published ID: IJNRD2305763

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Adithya E P, Rinsha Shafrin T K

KEYWORDS: Chest x-ray, Image Captioning, CNN (Convolutional Neural Networks), LSTM ( Long Short-Term Memory).

TECHO LAB: IMAGE CAPTIONING IN CHEST X-RAY BY USING CNN AND LSTM. Image captioning is a process of automatically generating a text description of an image, which is then used for reporting purposes. Image captions are a powerful tool for clinicians, allowing them to quickly identify a variety of diagnoses and conditions. And the use of image captioning in medical imaging has increased substantially over the past decade. It is becoming increasingly difficult for doctors to read and write medical reports due to the steadily increasing number of medical images. By creating drafts of the reports based on the corresponding images, an image captioning model could reduce the workload of doctors. The contents of the X-ray image are predicted by words. The network of CNN and LSTM is used in this project. A CNN extracts feature, while an LSTM stores the words one by one and creates a sentence from them. There should not only be a description of the disease but also a sentence describing its severity in a reasonable manner.

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Adithya E P & Rinsha Shafrin T K (May-2023). TECHO LAB: IMAGE CAPTIONING IN CHEST X-RAY BY USING CNN AND LSTM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h466-h471. https://ijnrd.org/papers/IJNRD2305763.pdf

Volume 8 Issue 5, May-2023

Pages : h466-h471

Paper Reg. ID: IJNRD_195999

Published Paper Id: IJNRD2305763

Downloads: 000122254

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Thrissur, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305763.pdf

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