A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
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 …
registration over the past decade. The initial developments, such as regression-based and U …
Virtual staining for histology by deep learning
In pathology and biomedical research, histology is the cornerstone method for tissue
analysis. Currently, the histological workflow consumes plenty of chemicals, water, and time …
analysis. Currently, the histological workflow consumes plenty of chemicals, water, and time …
[HTML][HTML] RegWSI: Whole slide image registration using combined deep feature-and intensity-based methods: Winner of the ACROBAT 2023 challenge
Background and objective The automatic registration of differently stained whole slide
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …
End-to-end affine registration framework for histopathological images with weak annotations
Y Lin, Z Liang, Y He, W Huang, T Guan - Computer Methods and Programs …, 2023 - Elsevier
Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …
component in digital pathology and biomedical image analysis. Deep-learning-based …
Automated three-dimensional image registration for longitudinal photoacoustic imaging
B De Santi, L Kim, RFG Bulthuis… - … of biomedical optics, 2024 - spiedigitallibrary.org
Significance Photoacoustic tomography (PAT) has great potential in monitoring disease
progression and treatment response in breast cancer. However, due to variations in breast …
progression and treatment response in breast cancer. However, due to variations in breast …
Unsupervised Non-rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features with Iterative Training
Histological image registration is a fundamental task in histological image analysis. It is
challenging because of substantial appearance differences due to multiple staining …
challenging because of substantial appearance differences due to multiple staining …
Brain tumour detection using machine and deep learning: a systematic review
N Rasool, JI Bhat - Multimedia Tools and Applications, 2024 - Springer
Brain tumors rank as the 1oth leading cause of mortality worldwide, accounting for 85% to
95% of all primary nervous system malignancies. The prevalence of this life-threatening …
95% of all primary nervous system malignancies. The prevalence of this life-threatening …
DeeperHistReg: Robust Whole Slide Images Registration Framework
DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs)
acquired using multiple stains. It allows one to perform the preprocessing, initial alignment …
acquired using multiple stains. It allows one to perform the preprocessing, initial alignment …
Comparison of consecutive and restained sections for image registration in histopathology
J Lotz, N Weiss, J van der Laak… - Journal of Medical …, 2023 - spiedigitallibrary.org
Significance Although the registration of restained sections allows nucleus-level alignment
that enables a direct analysis of interacting biomarkers, consecutive sections only allow the …
that enables a direct analysis of interacting biomarkers, consecutive sections only allow the …
Spatial Integration of Multi-Omics Data using the novel Multi-Omics Imaging Integration Toolset
M Wess, MK Andersen, E Midtbust, JCC Guillem… - bioRxiv, 2024 - biorxiv.org
To truly understand the cancer biology of heterogenous tumors in the context of precision
medicine, it is crucial to use analytical methodology capable of capturing the complexities of …
medicine, it is crucial to use analytical methodology capable of capturing the complexities of …