Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U …
As a fundamental and critical task in various visual applications, image matching can identify then correspond the same or similar structure/content from two or more images. Over the …
Convolutional neural network (CNN) has shown dissuasive accomplishment on different areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
L Kong, C Lian, D Huang, Y Hu… - Advances in Neural …, 2021 - proceedings.neurips.cc
Abstract Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field of medical image-to-image translation. However, neither modes are ideal …
Y Zhu, S Lu - International Conference on Medical Image Computing …, 2022 - Springer
Deformable medical image registration is widely used in medical image processing with the invertible and one-to-one mapping between images. While state-of-the-art image …
M Ma, Y Xu, L Song, G Liu - Knowledge-Based Systems, 2022 - Elsevier
Medical image registration is a fundamental and critical task in medical image analysis. With the rapid development of deep learning, convolutional neural networks (CNNs) have …
Abstract Acute Lymphoblastic Leukemia is one of the fatal types of disease which causes a high mortality rate among children and adults. Traditional diagnosing of this disease is …
B Zhou, Z Augenfeld, J Chapiro, SK Zhou, C Liu… - Medical image …, 2021 - Elsevier
Multimodal image registration has many applications in diagnostic medical imaging and image-guided interventions, such as Transcatheter Arterial Chemoembolization (TACE) of …