Datasets
Standard Dataset
Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciate Ligament Injury
- Citation Author(s):
- Submitted by:
- Sayantan Dutta
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/34ff-v973
- License:
17 Views- Categories:
0 ratings - Please login to submit your rating.
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 FYP_Resnet.rar (936.28 kB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia gan_uint8.rar (15.93 MB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_classified_gan_uint8.rar (88.61 MB)
- dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data.rar (22.59 MB)
- dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data_classified.rar (22.67 MB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data_classified_augmented.rar (167.17 MB)
- Datset Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciate Li roi_data_classified_class_balanced.rar (29.28 MB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data_classified_GAN_balanced.rar (38.19 MB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data_classified_uint8.rar (14.79 MB)
- Dataset for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia roi_data_classified_uncropped.rar (21.34 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Crucia class_weighted_saved_model.rar (89.60 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat expt_class_weight.rar (393.81 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat gan_0_1388_1704_saved_model.rar (606.42 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat gan_2_2k_aug_2p5k_saved_model.rar (29.93 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat gan_2k_2p5k_2p5k_saved_model.rar (3.29 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat gan_before_split_saved_model.rar (60.87 MB)
- Models for Precise MRI Image Classification Using improvised ResNet 50 Framework for the Automated Detection of Anterior Cruciat mirb_2x3_relu_bn_saved_model.rar (2.40 MB)
