Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciate Ligament Injury

- Citation Author(s):
-
SAYANTAN DUTTA
- Submitted by:
- Sayantan Dutta
- Last updated:
- DOI:
- 10.21227/34ff-v973
- Categories:
Abstract
This folder consists of codes, dataset, and models.
Instructions:
All codes contain python codes. Dataset files consist of augmented processed data. All models folder have models with extension .h5. Short python code is needed to generate the models from the file.
Dataset Files
- Python code for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cr (Size: 936.28 KB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia (Size: 15.93 MB)
- roi_classified_gan_uint8.rar (Size: 88.61 MB)
- dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia (Size: 22.59 MB)
- roi_data_classified.rar (Size: 22.67 MB)
- roi_data_classified_augmented.rar (Size: 167.17 MB)
- Datset Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciate Li (Size: 29.28 MB)
- roi_data_classified_GAN_balanced.rar (Size: 38.19 MB)
- roi_data_classified_uint8.rar (Size: 14.79 MB)
- roi_data_classified_uncropped.rar (Size: 21.34 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia (Size: 89.6 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat (Size: 393.81 MB)
- gan_0_1388_1704_saved_model.rar (Size: 606.42 MB)
- gan_2_2k_aug_2p5k_saved_model.rar (Size: 29.93 MB)
- gan_2k_2p5k_2p5k_saved_model.rar (Size: 3.29 MB)
- gan_before_split_saved_model.rar (Size: 60.87 MB)
- mirb_2x3_relu_bn_saved_model.rar (Size: 2.4 MB)