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Article
Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation
Melanoma is one kind of dangerous cancer that has been increasing rapidly in the world. Initial diagnosis is essential to survival, but often the disease is diagnosed in the fatal stage. The rapid growth of sk...
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Chapter and Conference Paper
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
The brain tumor segmentation task aims to classify tissue into the whole tumor (WT), tumor core (TC) and enhancing tumor (ET) classes using multimodel MRI images. Quantitative analysis of brain tumors is criti...
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Chapter and Conference Paper
Context Aware 3D UNet for Brain Tumor Segmentation
Deep convolutional neural network (CNN) achieves remarkable performance for medical image analysis. UNet is the primary source in the performance of 3D CNN architectures for medical imaging tasks, including br...