Results 41 to 48 of about 48 (48)

[A review of deep learning methods for the detection and classification of pulmonary nodules]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019
Zhao Q, Kong P, Min J, Zhou Y, Liang Z, Chen S, Li M.   +6 more
europepmc   +1 more source

[Severity classification of chronic obstructive pulmonary disease based on deep learning]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2017
Ying J, Yang C, Li Q, Xue W, Li T, Cao W.   +5 more
europepmc   +1 more source

[Research of electroencephalography representational emotion recognition based on deep belief networks]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2018
Yang H, Zhang J, Jiang X, Liu F.
europepmc   +1 more source

[Research progress of computer-aided diagnosis in cancer based on deep learning and medical imaging]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2017
Chen S, Liu W, Qin J, Chen L, Bin G, Zhou Y, Wang T, Huang B.   +7 more
europepmc   +1 more source

[Computer-aided diagnosis of Parkinson's disease based on the stacked deep polynomial networks ensemble learning framework]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2018
Chen L, Shi J, Peng B, Dai Y.
europepmc   +1 more source

[Research on adaptive quasi-linear viscoelastic model for nonlinear viscoelastic properties of in vivo soft tissues]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2017
Wang H, Sang Y.
europepmc   +1 more source

[Functional analysis of a novel SCN5A mutation G1712C identified in Brugada syndrome]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao, 2016
Chen YY, Liu SR, Xie LZ, Zhu TY, Chen YZ, Deng XJ, Meng SR, Peng J.   +7 more
europepmc   +1 more source

Artificial intelligence for brain disease diagnosis using electroencephalogram signals. [PDF]

J Zhejiang Univ Sci B
Shang S, Shi Y, Zhang Y, Liu M, Zhang H, Wang P, Zhuang L.   +6 more
europepmc   +1 more source