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A General Framework for Saliency Detection Methods
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An Abstraction of Semantic Segmentation Algorithms
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Image Seam-Carving by Controlling Positional Distribution of Seams
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Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
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Modeling of Pruning Techniques for Simplifying Deep Neural Networks
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Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
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Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging
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Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
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Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
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Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing
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Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification
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EXPLOITING UNCERTAINTY OF DEEP NEURAL NETWORKS FOR IMPROVING SEGMENTATION ACCURACY IN MRI IMAGES
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