# An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
## 4 Results
### Libraries for Image Data
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Name** & **Neuroscience Area** & **Data Type** & **Datasets** & **Task** \\ \hline Allen Cell Structure Segmenter [57] & Microbiology, Histology & 3D-fluorescence microscopy & No & Segmentation \\ ALMA [58] & Behavioral neuroscience & Video & External & Pose estimation, Classification \\ ANIX [59] (ANTSPsNet, & Neuurimaging & MRI & No & Classification, Segmentation, \\ ANIRNNR) & & & Registration, Suppression \\ ATLAS [60] & Medical Imaging & Images & No & Annotation, Classification \\ AxonDeepSeg [61] & Microbiology, Histology & SEM, TEM & External & Segmentation \\ BaBarf [62] & Medical Imaging & MRI & No & Reconstruction \\ Brainstorm [63] & Medical Imaging & MRI & No & Synthesis, Augmentation \\ CASCADE [64] & Electrophysiology & 2-photon calcium video, sequences & Yes & Event detection \\ CheepMap [65] & Microbiology, Histology & Microscopy & Yes & Segmentation \\ CERR [66] & Oncology, Radiomics & Images & No & Segmentation, Outcome prediction \\ Clinio \begin{table}
\begin{tabular}{c c c c c} \hline
**Name** & **Neuroscience Area** & **Data Type** & **Datasets** & **Task** \\ \hline MEVE [90] & Culography & Images, Video & Yes & Segmentation \\ MSSem [91] & Medical Imaging & Images (2D, 3D) & No & Segmentation \\ Neurite, Neuron [92] & Neuroimaging & Images & No & Segmentation \\ NiftyNet [93] & Medical Imaging & MRI, CT & No & Classification, Segmentation, \\  & & & & Synthesis \\ NiftyTorch [94] & Neuroimaging & Images (2D, 3D) & No & Synthesis \\ nnU-Net [95] & Medical Imaging & Images (2D, 3D) & No & Segmentation \\ YPTC [96] & Connectronics & Images (2D, 3D) & No & Segmentation \\ ScInline [97] & Neuroimaging & MRI & External & Segmentation \\ SimBA [98] & Behavioral neuroscience & Video & No & Pose estimation \\ Syntrophy [99] & Neuroimaging & Images (3D) & No & Segmentation, Extraction \\ VesideSeg [100] & Microbiology, Histology & EM & No & Segmentation \\ Visual Fields Analysis [101] & Eye tracking, Behavioral & Video & No & Pose estimation, Classification \\  & neuroscience & & & \\ Volume Segmanics [102] & Neuroimaging & Images (3D) & No & Segmentation \\ VoxelMorph [103] & HyperMorph & Neuroimaging & MRI & No & Registration \\ \hline \end{tabular}
\end{table} 
Table 4: Conf. \begin{table}
\begin{tabular}{c c c c c} \hline
**Name** & **Models** & **DL Framework** & **Customization** & **Programming Language** \\ \hline Allen Cell Structure Segmenter & CAE & PyTorch & No & Python \\ ALMA & CNN & Unspecified & No & Python \\ ANNX (ANNPNet, ANFNNet) & CNN, CAE, GAN & Keras, TensorFlow & Yes & Python, R, C++ \\ ATLAS & CNN & FastAI & Yes & Python \\ AxonDeepSeg & CAE & TensorFlow & Yes (weights) & Python \\ BART & CAE, VAE & BART, TensorFlow & Yes & Python \\ Brainstorm & 3D-CAE & Keras, TensorFlow & Yes (weights) & Python \\ CASCADE & 1-DCNN & TensorFlow & Yes (weights) & Python \\ CDeep3M2 & CAE & TensorFlow & Yes (weights) & Python \\ CERR & CAE & CERR & Yes & Octave, MATLAB \\ ClinicalD. & CNN, CAE & PyTorch & Yes & Python \\ DNNCE & 3D-CNN & PyTorch & Yes (weights) & Python, MATLAB \\ DeepBehavior & CNN & TensorFlow & Yes (weights) & Python, MATLAB \\ \hline \end{tabular}
\end{table} 
Table 5: Model engineering specifications for the libraries and frameworks processing image data.