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说明文档

单神经元（或细胞）识别

该模型专为图像分类而设计，用于识别包含单个神经元的筏或区域，并在 [FIVE-MGI/SNIM20] 上进行训练。

研究论文

如需了解更多详细信息，请参阅我们的 bioRxiv 论文：使用卷积神经网络对 iPSC 衍生培养物进行分类以识别单个分化神经元用于分离或测量

FIVE-MGI/Single_Neuron_Identification

作者 FIVE-MGI

tf-keras

↓ 0 ♥ 0

创建时间: 2024-06-13 17:48:37+00:00

更新时间: 2024-06-13 18:18:09+00:00

在 Hugging Face 上查看

文件 (98)

.gitattributes

README.md

SCIM12 (Fig S9 b)/FIVE_metadata.json

SCIM12 (Fig S9 b)/KSM/keras_metadata.pb

SCIM12 (Fig S9 b)/KSM/saved_model.pb

SCIM12 (Fig S9 b)/KSM/variables/variables.data-00000-of-00001

SCIM12 (Fig S9 b)/KSM/variables/variables.index

SCIM12 (Fig S9 b)/acc_0.8601 CNN_Nr CNNs.onnx ONNX

SCIM12 (Fig S9 b)/acc_0.8601 CNN_Nr CNNs.pb

SCIM12 (Fig S9 b)/acc_0.8601 CNN_Nr CNNs_5 kn_4 flt_30 iRt_1.75 ds__703, 208, 108_ nE_370,660 bSz_64 bNm_0 i_53.txt

SCIM12 (Fig7, Fig S9 a)/FIVE_metadata.json

SCIM12 (Fig7, Fig S9 a)/KSM/keras_metadata.pb

SCIM12 (Fig7, Fig S9 a)/KSM/saved_model.pb

SCIM12 (Fig7, Fig S9 a)/KSM/variables/variables.data-00000-of-00001

SCIM12 (Fig7, Fig S9 a)/KSM/variables/variables.index

SCIM12 (Fig7, Fig S9 a)/acc_0.8908 CNN_Nr CNNs.onnx ONNX

SCIM12 (Fig7, Fig S9 a)/acc_0.8908 CNN_Nr CNNs.pb

SCIM12 (Fig7, Fig S9 a)/acc_0.8908 CNN_Nr CNNs_7 kn_4 flt_36 iRt_1.75 ds__194, 119_ nE_233,660 bSz_64 bNm_1 i_1.txt

SNIM14 (Fig5d)/FIVE_metadata.json

SNIM14 (Fig5d)/KSM/keras_metadata.pb

SNIM14 (Fig5d)/KSM/saved_model.pb

SNIM14 (Fig5d)/KSM/variables/variables.data-00000-of-00001

SNIM14 (Fig5d)/KSM/variables/variables.index

SNIM14 (Fig5d)/acc_0.7905 CNN_Nr CNNs.onnx ONNX

SNIM14 (Fig5d)/acc_0.7905 CNN_Nr CNNs.pb

SNIM14 (Fig5d)/acc_0.7905 CNN_Nr CNNs_8 kn_2 flt_26 iRt_1.25 ds__46_ nE_127,400 bSz_64 bNm_0 i_.txt

SNIM16 (Fig S6)/FIVE_metadata.json

SNIM16 (Fig S6)/KSM/keras_metadata.pb

SNIM16 (Fig S6)/KSM/saved_model.pb

SNIM16 (Fig S6)/KSM/variables/variables.data-00000-of-00001

SNIM16 (Fig S6)/KSM/variables/variables.index

SNIM16 (Fig S6)/acc_0.7969 CNN_AC_R CNNs_7 kn_4 flt_18 iRt_1.5 ds__270_ nE_169 bSz_64 bNm_0 i_22.txt

SNIM16 (Fig S6)/acc_0.7969 CNN_AC_R CNNs_7 kn_4.pb

SNIM16 (Fig S6)/acc_0.7969 CNN_AC_R CNNs_7 kn_4.pb.png

SNIM20 (Fig 2, 3, S5, S6)/FIVE_metadata.json

SNIM20 (Fig 2, 3, S5, S6)/KSM/keras_metadata.pb

SNIM20 (Fig 2, 3, S5, S6)/KSM/saved_model.pb

SNIM20 (Fig 2, 3, S5, S6)/KSM/variables/variables.data-00000-of-00001

SNIM20 (Fig 2, 3, S5, S6)/KSM/variables/variables.index

SNIM20 (Fig 2, 3, S5, S6)/acc_0.7371 CNN_Ar CNNs.onnx ONNX

SNIM20 (Fig 2, 3, S5, S6)/acc_0.7371 CNN_Ar CNNs.pb

SNIM20 (Fig 2, 3, S5, S6)/acc_0.7371 CNN_Ar CNNs_8 kn_2 flt_33 iRt_1.25 ds__70, 47_ nE_220,2200 bSz_64 bNm_1 i_23.txt

SNIM20 BFOnly (Fig4d, FigS7d)/FIVE_metadata.json

SNIM20 BFOnly (Fig4d, FigS7d)/KSM/keras_metadata.pb

SNIM20 BFOnly (Fig4d, FigS7d)/KSM/saved_model.pb

SNIM20 BFOnly (Fig4d, FigS7d)/KSM/variables/variables.data-00000-of-00001

SNIM20 BFOnly (Fig4d, FigS7d)/KSM/variables/variables.index

SNIM20 BFOnly (Fig4d, FigS7d)/acc_0.4159 c1 CNN_Ar C.onnx ONNX

SNIM20 BFOnly (Fig4d, FigS7d)/acc_0.4159 c1 CNN_Ar C.pb

SNIM20 BFOnly (Fig4d, FigS7d)/acc_0.4159 c1 CNN_Ar CNNs_7 kn_2 flt_24 iRt_1.5 ds__70_ nE_160,1600 bSz_64 bNm_1 i_15.txt

SNIM20 BFOnly (FigS7c)/FIVE_metadata.json

SNIM20 BFOnly (FigS7c)/KSM/keras_metadata.pb

SNIM20 BFOnly (FigS7c)/KSM/saved_model.pb

SNIM20 BFOnly (FigS7c)/KSM/variables/variables.data-00000-of-00001

SNIM20 BFOnly (FigS7c)/KSM/variables/variables.index

SNIM20 BFOnly (FigS7c)/acc_0.3437 c1 CNN_Ar C.onnx ONNX

SNIM20 BFOnly (FigS7c)/acc_0.3437 c1 CNN_Ar C.pb

SNIM20 BFOnly (FigS7c)/acc_0.3437 c1 CNN_Ar CNNs_6 kn_2 flt_32 iRt_1.75 ds__1000, 518, 74, 69_ nE_160,1600 bSz_64 bNm_0 i_26.txt

SNIM20 CNNAr (FigS8 a)/FIVE_metadata.json

SNIM20 CNNAr (FigS8 a)/KSM/keras_metadata.pb

SNIM20 CNNAr (FigS8 a)/KSM/saved_model.pb

SNIM20 CNNAr (FigS8 a)/KSM/variables/variables.data-00000-of-00001

SNIM20 CNNAr (FigS8 a)/KSM/variables/variables.index

SNIM20 CNNAr (FigS8 a)/acc_0.6945 CNN_Ar CNNs.onnx ONNX

SNIM20 CNNAr (FigS8 a)/acc_0.6945 CNN_Ar CNNs.pb

SNIM20 CNNAr (FigS8 a)/acc_0.6945 CNN_Ar CNNs_7 kn_2 flt_20 iRt_1.75 ds__471, 46, 31_ nE_53,256 bSz_64 bNm_1 i_112.txt

SNIM20 InceptionV3 (FigS8 b)/FIVE_metadata.json

SNIM20 InceptionV3 (FigS8 b)/KSM/keras_metadata.pb

SNIM20 InceptionV3 (FigS8 b)/KSM/saved_model.pb

SNIM20 InceptionV3 (FigS8 b)/KSM/variables/variables.data-00000-of-00001

SNIM20 InceptionV3 (FigS8 b)/KSM/variables/variables.index

SNIM20 InceptionV3 (FigS8 b)/acc_0.6145 IncepV3 CNN.onnx ONNX

SNIM20 InceptionV3 (FigS8 b)/acc_0.6145 IncepV3 CNN.pb

SNIM20 InceptionV3 (FigS8 b)/acc_0.6145 IncepV3 CNNs_7 kn_4 flt_25 iRt_1.25 ds__787, 243, 215, 204, 39_ nE_26,256 bSz_64 bNm_0 i_6.txt

SNIM20 NASNetMobile (FigS8 c)/FIVE_metadata.json

SNIM20 NASNetMobile (FigS8 c)/KSM/keras_metadata.pb

SNIM20 NASNetMobile (FigS8 c)/KSM/saved_model.pb

SNIM20 NASNetMobile (FigS8 c)/KSM/variables/variables.data-00000-of-00001

SNIM20 NASNetMobile (FigS8 c)/KSM/variables/variables.index

SNIM20 NASNetMobile (FigS8 c)/acc_0.5983 NasNetM CNN.onnx ONNX

SNIM20 NASNetMobile (FigS8 c)/acc_0.5983 NasNetM CNN.pb

SNIM20 NASNetMobile (FigS8 c)/acc_0.5983 NasNetM CNNs_6 kn_4 flt_21 iRt_1.25 ds__196, 181, 41_ nE_26,256 bSz_64 bNm_0 i_41.txt

SNIM20 XceptionV1 (FigS8 d)/FIVE_metadata.json

SNIM20 XceptionV1 (FigS8 d)/KSM/keras_metadata.pb

SNIM20 XceptionV1 (FigS8 d)/KSM/saved_model.pb

SNIM20 XceptionV1 (FigS8 d)/KSM/variables/variables.data-00000-of-00001

SNIM20 XceptionV1 (FigS8 d)/KSM/variables/variables.index

SNIM20 XceptionV1 (FigS8 d)/acc_0.6086 Xcption CNN.onnx ONNX

SNIM20 XceptionV1 (FigS8 d)/acc_0.6086 Xcption CNN.pb

SNIM20 XceptionV1 (FigS8 d)/acc_0.6086 Xcption CNNs_6 kn_2 flt_32 iRt_1.75 ds__592, 200, 156, 64, 40_ nE_26,256 bSz_64 bNm_0 i_42.txt

SNIM3 (Fig5c)/FIVE_metadata.json

SNIM3 (Fig5c)/KSM/keras_metadata.pb

SNIM3 (Fig5c)/KSM/saved_model.pb

SNIM3 (Fig5c)/KSM/variables/variables.data-00000-of-00001

SNIM3 (Fig5c)/KSM/variables/variables.index

SNIM3 (Fig5c)/acc_0.9172 c02 CNN_Nr CNNs_8 kn_3 flt_21 iRt_1.75 ds__294, 37_ nE_83,400 bSz_64 bNm_1 i_12.txt

SNIM3 (Fig5c)/acc_0.9172 c02 CNN_Nr.onnx ONNX

SNIM3 (Fig5c)/acc_0.9172 c02 CNN_Nr.pb