A detection model was built to detect the tissues affected by Invasive Ductal Carcinoma (IDC) using 15 variations of Convolution Neural Network and compared with the state-of-art architectures like, VGG-16 ,VGG-19, ResNet-50, ResNet50V2, MobileNet, MobileNetV2, DenseNet121, and LeNet-5. Neural Activation Maps and Class Activation Maps were used to understand the localization of Invasive Ductal Carcinoma.
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A detection model was built to detect the tissues affected by Invasive Ductal Carcinoma (IDC) using 15 variations of Convolution Neural Network and compared with the state-of-art architectures like, VGG-16 ,VGG-19, ResNet-50, ResNet50V2, MobileNet, MobileNetV2, DenseNet121, and LeNet-5. Neural Activation Maps and Class Activation Maps were used …
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aanchal898/Cancer-Diagnosis-using-SOTA-CNNs
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A detection model was built to detect the tissues affected by Invasive Ductal Carcinoma (IDC) using 15 variations of Convolution Neural Network and compared with the state-of-art architectures like, VGG-16 ,VGG-19, ResNet-50, ResNet50V2, MobileNet, MobileNetV2, DenseNet121, and LeNet-5. Neural Activation Maps and Class Activation Maps were used …
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