AI Medical Compendium Journal:
International journal of computer assisted radiology and surgery

Showing 91 to 100 of 481 articles

A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI.

International journal of computer assisted radiology and surgery
PURPOSE: Point localisation is a critical aspect of many interventional planning procedures, specifically representing anatomical regions of interest or landmarks as individual points. This could be seen as analogous to the problem of visual search i...

Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography.

International journal of computer assisted radiology and surgery
PURPOSE: Scanning path planning is an essential technology for fully automated ultrasound (US) robotics. During biliary scanning, the subcostal boundary is critical body surface landmarks for scanning path planning but are often invisible, depending ...

Improved precise guidewire delivery of a cardiovascular interventional surgery robot based on admittance control.

International journal of computer assisted radiology and surgery
PURPOSE: The development of cardiovascular interventional surgery robots can realize master-slave interventional operations, which will effectively solve the problem of surgeons being injured by X-ray radiation. The delivery accuracy and safety of in...

Dynamic surface reconstruction in robot-assisted minimally invasive surgery based on neural radiance fields.

International journal of computer assisted radiology and surgery
PURPOSE: The purpose of this study was to improve surgical scene perception by addressing the challenge of reconstructing highly dynamic surgical scenes. We proposed a novel depth estimation network and a reconstruction framework that combines neural...

Arc-to-line frame registration method for ultrasound and photoacoustic image-guided intraoperative robot-assisted laparoscopic prostatectomy.

International journal of computer assisted radiology and surgery
PURPOSE: To achieve effective robot-assisted laparoscopic prostatectomy, the integration of transrectal ultrasound (TRUS) imaging system which is the most widely used imaging modality in prostate imaging is essential. However, manual manipulation of ...

OCIF: automatically learning the optimized clinical information fusion method for computer-aided diagnosis tasks.

International journal of computer assisted radiology and surgery
PURPOSE: In computer-aided diagnosis, the fusion of image features extracted from neural networks and clinical information is crucial to improve diagnostic accuracy. How to integrate low-dimensional clinical information (LDCF) with high-dimensional n...

Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans.

International journal of computer assisted radiology and surgery
PURPOSE: The proposed work aims to develop an algorithm to precisely segment the lung parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a combination of deep learning and traditional image processing algorithms. T...

Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.

International journal of computer assisted radiology and surgery
PURPOSE: Deep neural networks need to be able to indicate error likelihood via reliable estimates of their predictive uncertainty when used in high-risk scenarios, such as medical decision support. This work contributes a systematic overview of state...

Suitability of DNN-based vessel segmentation for SIRT planning.

International journal of computer assisted radiology and surgery
PURPOSE: The segmentation of the hepatic arteries (HA) is essential for state-of-the-art pre-interventional planning of selective internal radiation therapy (SIRT), a treatment option for malignant tumors in the liver. In SIRT a catheter is placed th...