PERFORMANCE OF SIMPLE NEURAL NETWORKS IN THE DETECTION OF RECTAL TUMORS
This study investigated the application of neural networks for detecting rectal tumor regions in patients using computed tomography (CT) images. The study included 138 patients, while two CT scans with a healthy rectum were included to balance the dataset, resulting in a total of 3566 images. For each image, pixel values along the contour and withi...
By Edib Dobardzic, Ivana Mišković, Bećko Kasalica, Mladen Marinković, Aleksandra Bibić
PROBABILITY ASSESSMENT OF RECTAL TUMOR PRESENCE USING CLASSICAL MACHINE LEARNING ALGORITHMS
The aim of this study was to investigate the application of classical machine learning algorithms for the detection of rectal tumors on computed tomography (CT) images of patients following neoadjuvant chemoradiotherapy. The study included 138 patients, of whom 136 had a confirmed tumor, while two subjects with a healthy rectum were included to bal...
By Edib Dobardzic, Ivana Mišković, Mirjana Sarvan, Mladen Marinković, Aleksandra Bibić