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- - 0.925 - - [61] Kaggle PSNA - 0.755 - - - - - 0.793 0.758 [45] DarkCovidNet 0.981 94.17 99.61 90.65 - - - - 0.979 [13] GoogleNet (for normal class) - - 91.00 91.00 - - 0.964 - - [4] DecafCNN [78] - - 78.00 84.00 - - 87.00 - - [35] Ensemble DCNN - - - - - - 0.99 - - [31] ResNet101 0.989 98.15 98.66 98.93 - - - - 0.964

Table 2.5 Models with hardware used and time required for training.

Ref.	Dataset	Hardware and software platform used	Input image size	Time required for training
[47]	CheXpert	NVIDIA Geforce RTX 2080 Ti with 11GB memory. Python with Keras and TensorFlow	224 × 224 pixels	-
[51]	Lung ultrasonography videos from Italy	RTX-2080 NVIDIA GPU	1,005 frames	11 hours
[46]	NIH Tuberculosis Chest X-ray dataset [18] and Belarus Tuberculosis Portal dataset [21]	Nvidia GeForce GTX 1050 Ti	512 × 512	5–6 ms
[26]	ChestX-ray14 dataset	8-core CPU and four TITAN V GPUs Pytorch 1.0 framework in Python 3.6 on an Ubuntu 16.04 server	224 × 224	-
[20]	ChestX-ray14 dataset	NVIDIA TITAN Xp GPUs Pytorch	224 × 224	6 hours
[70]	ChestX-ray14 dataset	Dev-Box linux server with 4 Titan X GPUs	224 × 224	-
[5]	ChestX-ray14 dataset	Intel Core(TM) i7-6850k CPU 3.60GHz processor, 4TB of hard disk space, 7889 MB of RAM, and a CUDA-enabled NVidia Titan 11 GB graphics processing unit with python and Keras library on TensorFlow	224 × 224	-
[49]	ChestX-ray8	NVIDIA GeForce GTX TITAN and PyTorch	512 × 512	20 hours
[46]	NIH Tuberculosis Chest X-ray [18], Belarus Tuberculosis [A6]	Nvidia GeForce GTX 1050 Ti	512 × 512	1 hour
[61]	Kaggle PSNA	Nvidia Tesla V100 and Nvidia K80 and Keras library of Python	512 × 512	7 hours
[13]	St. Michael’s Hospital chest x-ray	3 NVIDIA Titan X 12GB GPUs	256 × 256	1 hour
[35]	NIH Tuberculosis Chest X-ray [18], Belarus Tuberculosis [A6]	Intel i5 Скачать книгу В начало<192021222324252627>В конец