National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Automatic generation of medical reports from chest X-rays in Czech
Chaloupský, Lukáš ; Rosa, Rudolf (advisor) ; Libovický, Jindřich (referee)
This thesis deals with the problem of automatic generation of medical reports in the Czech language based on the input chest X-ray images using deep neural networks. The first part deals with the analysis of the problem itself including a comparison of existing solutions from several common points of view. In order to interpret medical images in the Czech language, we present a fine-tuned Czech GPT-2 model specialized on medical texts based on the original pre-trained English GPT-2 model along with its evaluation. In the second part, the created Czech GPT-2 is used for training a neural network model for generating medical reports. The training was conducted on freely available data along with data preprocessing and their adjustment for the Czech language. Furthermore, the model results are discussed and evaluated using standard metrics for natural language processing to determine the performance. 1
Automatic generation of images and their usage as training data
Chaloupský, Lukáš ; Rosa, Rudolf (advisor) ; Helcl, Jindřich (referee)
This thesis deals with the problem of automatic image generation based on input text in natural language. The first part deals with design and implementation of application that will generate an image composed of individual small pictures corresponding to the input description (an English sentence) based on certain rules, patterns and relations between words in the specified input sentence. The scope of objects for generating is infinite, because images are downloaded dynamically using REST API calls. The second goal is then to use this created application for training of a neural network for Image captioning task, i.e. automatic generation of captions for images, and evaluate its impact on quality of outputs from this task. The training was conducted on freely available data and it has been shown that artificial generating of images for training neural networks purposes has positive impact on the image captioning task. 1

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