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Deep learning-based lung image registration: A review
H ** to solve series problems in clinical applications. Since the lungs are soft and fairly …
Augmented reality implementation in minimally invasive surgery for future application in pulmonary surgery: a systematic review
MCJ Doornbos, JJ Peek, APWM Maat… - Surgical …, 2024 - journals.sagepub.com
Objective This systematic review investigates of Augmented Reality (AR) systems used in
minimally invasive surgery of deformable organs, focusing on initial registration, dynamic …
minimally invasive surgery of deformable organs, focusing on initial registration, dynamic …
3D–2D image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch
In image-guided spine surgery, robust three-dimensional to two-dimensional (3D–2D)
registration of preoperative computed tomography (CT) and intraoperative radiographs can …
registration of preoperative computed tomography (CT) and intraoperative radiographs can …
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
accuracy of radiotherapy is significantly compromised due to respiratory-induced …
Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck …
X Li, Y Zhang, Y Shi, S Wu, Y ** DIR methods based on deep learning (DL). A …
Hybrid theater and uniportal video-assisted thoracic surgery: the perfect match for lung nodule localization
For most of the pulmonary nodules discovered incidentally by thoracic imaging, the
likelihood of them becoming malignant varies according to their size. 1 Despite the fact that …
likelihood of them becoming malignant varies according to their size. 1 Despite the fact that …