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2406.08137
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The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study
12 June 2024
Anvar Kurmukov
V. Chernina
Regina Gareeva
Maria Dugova
Ekaterina Petrash
O. Aleshina
Maxim Pisov
B. Shirokikh
Valentin Samokhin
Vladislav Proskurov
Stanislav Shimovolos
Maria Basova
Mikhail Goncahrov
Eugenia Soboleva
Maria Donskova
Farukh Yaushev
A. Shevtsov
Alexey Zakharov
Talgat Saparov
V. Gombolevskiy
Mikhail Belyaev
AI4CE
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Papers citing
"The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study"
3 / 3 papers shown
Title
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
B. Shirokikh
A. Dalechina
A. Shevtsov
Egor Krivov
V. Kostjuchenko
A. Durgaryan
M. Galkin
A. Golanov
Mikhail Belyaev
59
6
0
21 Aug 2021
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
91
326
0
15 Mar 2021
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
M. Iglesia-Vayá
J. Saborit
J. Montell
A. Pertusa
A. Bustos
...
Domingo Orozco-Beltrán
Francisco García-García
M. Caparrós
G. González
J. M. Salinas
37
228
0
01 Jun 2020
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