100. confusion_matrix_for_test_data_v5_for_2class.py
100. confusion_matrix_for_testdata_v7_for_2class.py
101. Lung_segmentation_with_Unet.ipynb
102. Kidney_segmentation_with_Unet.ipynb
103. Skull_segmentation_with_Unet_and_autoencoder.ipynb
104. DoubleUnet_brain_tumor.ipynb
105. Pre_training_Unet_with_resnet.ipynb
106. Pre_training_Unet_with_vgg.ipynb
107. Pre_training_Unet_with_inception.ipynb
108. comparison of vgg, resnet and inception.ipynb
109. Brain_Tumor_classification.ipynb
110. Classification_of_mri_Images_of_brain_with_Random_forest.ipynb
111. Random_forest_with_VGG16.ipynb
112. Random_forest_with_inceptionv3.ipynb
113. Random_forest_with_resnet50.ipynb
114. Tea Leaf Disease detection using YOLOv5.ipynb
115. Tea Leaf Disease detection using YOLOv7.ipynb
116. Classification_with_XGBoost.ipynb
117. AttentionUnet_part1.ipynb
118. AttentionUnet__part2.ipynb
119. TransformerUnet_brain_tumor .ipynb
120. Image Classfication with naive_bayes.ipynb
121. Support Vector Machine Imgae Classification.ipynb
122. Image Classification with cnn classifier.ipynb
123. Image classification YOLO.ipynb
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