Multi-task deep learning for medical image computing and analysis: A review

Y Zhao, X Wang, T Che, G Bao, S Li - Computers in Biology and Medicine, 2023 - Elsevier
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

J Chen, Y Liu, S Wei, Z Bian, S Subramanian… - Medical Image …, 2024 - Elsevier
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 …

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

SM Thomas, JG Lefevre, G Baxter, NA Hamilton - Medical Image Analysis, 2021 - Elsevier
We apply for the first-time interpretable deep learning methods simultaneously to the most
common skin cancers (basal cell carcinoma, squamous cell carcinoma and intraepidermal …

A survey on deep learning in medical image reconstruction

E Ahishakiye, M Bastiaan Van Gijzen… - Intelligent …, 2021 - mednexus.org
Medical image reconstruction aims to acquire high-quality medical images for clinical usage
at minimal cost and risk to the patients. Deep learning and its applications in medical …

A review of deep learning-based deformable medical image registration

J Zou, B Gao, Y Song, J Qin - Frontiers in Oncology, 2022 - frontiersin.org
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

Dual-stream pyramid registration network

M Kang, X Hu, W Huang, MR Scott, M Reyes - Medical image analysis, 2022 - Elsevier
We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for
unsupervised 3D brain image registration. Unlike recent CNN-based registration …

Learning deformable registration of medical images with anatomical constraints

L Mansilla, DH Milone, E Ferrante - Neural Networks, 2020 - Elsevier
Deformable image registration is a fundamental problem in the field of medical image
analysis. During the last years, we have witnessed the advent of deep learning-based image …

[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods

H ** literature review
S Abbasi, M Tavakoli, HR Boveiri, MAM Shirazi… - … Signal Processing and …, 2022 - Elsevier
In medicine, image registration is vital in image-guided interventions and other clinical
applications. However, it is a difficult subject to be addressed which by the advent of …

Deep learning for medical image registration: A comprehensive review

S Bharati, M Mondal, P Podder, VB Prasath - arxiv preprint arxiv …, 2022 - arxiv.org
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …