3 papers
math.NA2020
Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images
Ivica Kopriva, Fei Shi, Mingying Lai +3
This paper proposes low tensor-train (TT) rank and low multilinear (ML) rank approximations for de-speckling and compression of 3D optical coherence tomography (OCT) images for a g…
eess.IV2019
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan, Jiajie Mo, Benzhang Qiu +6
Retinal vessel segmentation is a crucial step in diagnosing and screening various diseases, including diabetes, ophthalmologic diseases, and cardiovascular diseases. In this paper,…
stat.ME2018
Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration
Lun Gong, Cheng Zhang, Luwen Duan +4
Objective: Non-rigid image registration with high accuracy and efficiency is still a challenging task for medical image analysis. In this work, we present the spatially region-weig…