Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

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Objective: In this study, the accuracy of deep learning-based models developed for synthetic CT (sCT) generation from conventional Cone Beam Computed Tomography (CBCT) images of prostate cancer ...

This repository contains code for an image caption generation system using deep learning techniques. The system leverages a pretrained VGG16 model for feature extraction and a custom captioning model ...

Abstract: One of the most important tools in the modern world is image captioning. Additionally, built-in pro-grams that use deep neural network models to make and produce captions for specific ...

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...

OpenAI on Wednesday brought the tech behind its new and improved image generation feature in ChatGPT to its API, allowing developers to integrate it into their apps and services. In OpenAI’s API, the ...

Abstract: Over the last few years deep neural network made image captioning conceivable. Image caption generator provides an appropriate title for an applied input image based on the dataset. The ...