Deep learning approaches to 3D shape segmentation are typically ... fine-grained part refinements in image-to-shape reconstruction. Our code has been tested with Python 3.5, PyTorch 0.4.0, CUDA 8.0 on ...

Abstract: Image segmentation is one of the most essential biomedical image processing problems for different imaging modalities, including microscopy and X-ray in the Internet-of-Medical-Things (IoMT) ...

Abstract: Encoder-decoder networks are state-of-the-art approaches to biomedical image segmentation, but have two problems: i.e., the widely used pooling operations may discard spatial information, ...