International Journal of Computer Assisted Radiology and Surgery This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations
ConclusionThrough comprehensive experiments, LensePro demonstrates its state-of-the-art performance for TRUS-based PCa detection. Although further research is necessary to confirm its clinical applicability, LensePro marks a notable advancement in enhancing automated computer-aided systems for detecting prostate cancer in ultrasound. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 10, 2024 Category: Intensive Care Source Type: research

FF-ViT: probe orientation regression for robot-assisted endomicroscopy tissue scanning
ConclusionThe performance evaluation study verifies the clinical value of the proposed framework and its potential to be integrated into surgical robotic platforms for intraoperative tissue scanning. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 10, 2024 Category: Intensive Care Source Type: research

Enhancing robotic telesurgery with sensorless haptic feedback
ConclusionWe demonstrate the benefits of sensorless haptic feedback in teleoperated surgery systems, especially with dynamic compensation, and that it can improve surgical performance without hardware modifications. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 10, 2024 Category: Intensive Care Source Type: research

Create virtual dentoskeletal model by superimposing digital dental cast into cone-beam computed tomography scan
ConclusionsThe resulting virtual dentoskeletal model can be viewed and manipulated on a computer screen, allowing for a detailed analysis of the teeth and supporting structures. The 3D model generated by the SfM photogrammetry technique did well during the superimposition process, representing a reliable method for virtual-based processing such as orthognathic surgery planning and splint design. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 10, 2024 Category: Intensive Care Source Type: research

Cognitive effort detection for tele-robotic surgery via personalized pupil response modeling
ConclusionWe present a personalized brightness-aware model for cognitive effort detection able to operate under unconstrained brightness conditions, comparing favorably to competing approaches, contributing to the advancement of cognitive effort detection in tele-robotic surgery. Future work will consider alternative learning strategies, handling the difficult positive-unlabeled scenario in user studies, where only some positive and no negative events are reliably known. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 8, 2024 Category: Intensive Care Source Type: research

Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning
ConclusionsWe contribute a novel framework for the 2D –3D reconstruction of bone models from biplanar standing EOS radiographs and successfully use them in automated clinical-grade preoperative planning of high tibial osteotomies. However, achieving precise reconstruction and automated measurement of tibial slope remains a significant challenge. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 4, 2024 Category: Intensive Care Source Type: research

Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room
ConclusionAutomated RS analysis with deep learning demonstrates promising classification performance compared to commonly used support vector machines. Robotic assistance in tissue characterization can contribute to highly accurate, rapid, and robust biopsy analysis in the OR. These two elements are an important step toward real-time cancer confirmation using RS and OR integration. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 4, 2024 Category: Intensive Care Source Type: research

On-the-fly point annotation for fast medical video labeling
Conclusion:Without bells and whistles, our approach offers a significant speed-up in annotation tasks. It can be easily implemented on any annotation platform to accelerate the integration of deep learning in video-based medical research. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 4, 2024 Category: Intensive Care Source Type: research

EndoViT: pretraining vision transformers on a large collection of endoscopic images
ConclusionOur study contributes to the field of medical computer vision by showcasing the benefits of domain-specific large-scale self-supervised pretraining for vision transformers. We release both our code and pretrained models to facilitate further research in this direction:https://github.com/DominikBatic/EndoViT. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 3, 2024 Category: Intensive Care Source Type: research

Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data
ConclusionTo the best knowledge of the authors, this is the first study aiming for automatic segmentation of ossified ligamentum flavum. Results from the comprehensive experiments demonstrate the superior performance of the proposed method over the state-of-the-art methods. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 3, 2024 Category: Intensive Care Source Type: research