恶臭
发表于 2025-3-23 10:45:59
M. Latiftasks on MRI and CT images. In this paper, we review performance of different 2D and 3D CNN models for liver image segmentation. We also analyzed studies that used variants of ResNet, FCN, U-Net, and 3D U-Net along with various evaluation metrics. How these variants of 2D and 3D CNN models enhance t
Maximizer
发表于 2025-3-23 17:04:56
T. Felis,J. Pätzoldtium proposes e-inclusive citizen-centric solutions to cover the above reported three main aspects of the future of e-health in Europe with open-source strategies joined to full-service maintenance and management models. The Users’ and Developers’ O3 Consortium Communities are based mainly on the HE
自恋
发表于 2025-3-23 21:58:54
J. Meincke,D. Quadfasel,W. H. Berger,K. Brander,R. R. Dickson,P. M. Haugan,M. Latif,J. Marotzke,J. MFor ease of writing the term ‘participant’ is used to cover all individuals or groups (including patients) who act as subjects, respondents, interviewees, informants, within any type of research design, whether it be quantitative or qualitative in nature.
无聊点好
发表于 2025-3-24 00:38:28
R. WollastFor ease of writing the term ‘participant’ is used to cover all individuals or groups (including patients) who act as subjects, respondents, interviewees, informants, within any type of research design, whether it be quantitative or qualitative in nature.
AWL
发表于 2025-3-24 03:09:02
H. J. W. de Baar,J. La RocheFor ease of writing the term ‘participant’ is used to cover all individuals or groups (including patients) who act as subjects, respondents, interviewees, informants, within any type of research design, whether it be quantitative or qualitative in nature.
Charlatan
发表于 2025-3-24 08:56:47
E. EppingFor ease of writing the term ‘participant’ is used to cover all individuals or groups (including patients) who act as subjects, respondents, interviewees, informants, within any type of research design, whether it be quantitative or qualitative in nature.
群居动物
发表于 2025-3-24 14:36:01
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Ccu106
发表于 2025-3-24 16:45:09
M. J. Kaiser,J. S. Collie,S. J. Hall,I. R. PoinerThe effectiveness of the proposed system was measured using 322 mammogram images from the mammographic image analysis society (MIAS) database. From experimental results show that, the accuracy obtained from ROC curve analysis is AUC 94 % with standard error 0.11. The experimental results shows that
有其法作用
发表于 2025-3-24 21:08:50
K. ReiseThe effectiveness of the proposed system was measured using 322 mammogram images from the mammographic image analysis society (MIAS) database. From experimental results show that, the accuracy obtained from ROC curve analysis is AUC 94 % with standard error 0.11. The experimental results shows that
CLAY
发表于 2025-3-25 01:20:25
P. R. Burbridge,J. Pethickstic system for three class breast tissue density classification, Laws’ texture descriptors have been computed using Laws’ masks of different resolutions. Five statistical features i.e. mean, skewness, standard deviation, entropy and kurtosis have been computed from all the Laws’ texture energy imag