Ilim ha’m ja’miyet 4-1-san (2023) · 15-17-betler
SUN'IY INTELLEKT TIZIMIDAGI MACHINE LEARNING METODOLOGIYASIDAN FOYDALANIB PROSTATA SARATONINI ANIQLASH
Madolimov, F.E.
Annotaciya
Throughout this article, many methods have been tested based on machine learning and deep learning. In particular, many algorithms such as R-CNN, Fast R-CNN, Faster R-CNN, SSD, and Yolov, which are general-purpose object detection algorithms based on deep learning, were evaluated in terms of operational performance and detection and classification accuracy. As a result of the evaluations, the Yolov algorithm was selected as the most suitable for the automatic diagnostic system that we aim for in this study. Because it can be seen that better results have been achieved with the Yolov algorithm in terms of image processing speed and accuracy compared to its peers.
YolovGleasonSuper Speed Dual PixelConvolutional Neyron NetworksNikon eclipseYolovGleasonSuper Speed Dual PixelConvolutional Neyron NetworksNikon eclipse
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.