The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

no code implementations • 25 Sep 2024 • Anvar Kurmukov, Bogdan Zavolovich, Aleksandra Dalechina, Vladislav Proskurov, Boris Shirokikh

Image compression is a critical tool in decreasing the cost of storage and improving the speed of transmission over the internet.

Image Compression

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study

no code implementations • 12 Jun 2024 • Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

Previous studies have measured the time-saving effect of using a deep-learning-based aid (DLA) for CT interpretation.

Computed Tomography (CT) Diagnostic +1