Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

Hierarchical Multi-scale Representations for medical image segmentation with state of the art results on synapse multi-organ segmentation, skin lesion segmentation, multiple myeloma cell segmentation.

Abstract: Accurate identification and delineation of tumors in brain from MRI images which is multimodal is crucial for tracking disease progression, particularly in the case of gliomas, which are ...

As one of the popular deep learning methods, deep convolutional neural networks (DCNNs) have been widely adopted in segmentation tasks and have received positive feedback. However, in segmentation ...

Abstract: There has been an increasing interest by local Malaysian towards beekeeping of Meliponine, which is a tribe of stingless bee. When it comes to advice on beekeeping, these locals (mostly ...

They are newly trained, and the performance is slightly different from reported in paper (BraTS is higher and REFUGE is lower). REFUGE training command line (with --noqkbias the trained model ...

Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features. However, it is generally difficult to ...