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Found 3 papers, 2 papers with code
Generative Adversarial Networks based Skin Lesion Segmentation
Skin cancer is a serious condition that requires accurate diagnosis and treatment.
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis
We explored the effectiveness of deep convolutional neural network based architectures by designing an encoder-decoder architecture for skin lesion segmentation and CNN based classification network.
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially for the semantic segmentation task associated with our challenge dataset.
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