International Journal of Computer Assisted Radiology and Surgery
IF
2.47
Papers
871
Papers 1180
1 page of 118 pages (1,180 results)
Newest
#1Yichen Pan (PKU: Peking University)
#2Yinghui Wang (PKU: Peking University)
Last. Tianmin Xu (PKU: Peking University)H-Index: 13
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BACKGROUND To evaluate the validity and reliability of cone-beam computed tomography (CBCT) masseter muscle segmentation by comparing with the magnetic resonance imaging (MRI) masseter muscle segmentation of the same patients. METHODS Seventeen volunteers were included in this study. CBCT and MRI scans of the volunteers were taken, respectively, within one month. The masseter muscles in the CBCT scans were segmented by a generative adversarial network (GAN)-based framework combined with manual c...
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#1Mikhail M Novikov (RAS: Russian Academy of Sciences)
Last. V. K. Popov (RAS: Russian Academy of Sciences)H-Index: 11
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PURPOSE Nowadays, cheilorhinoseptoplasty is one of the most efficient methods of cleft lip primary surgical treatment eliminating both functional and esthetic issues. In this work, we have proposed, developed, and experimentally tested a new thermography-based algorithm for studying the efficiency and symmetry of nasal breathing prior to and after the surgery. METHODS To investigate and analyze the external respiration function of an infant with unilateral cleft lip after surgical respiration sy...
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#1Amit Kumar Chanchal (KREC: National Institute of Technology, Karnataka)H-Index: 1
#2Shyam Lal (KREC: National Institute of Technology, Karnataka)H-Index: 11
Last. Jyoti R. Kini (Manipal University)H-Index: 5
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Purpose null Increasing cancer disease incidence worldwide has become a major public health issue. Manual histopathological analysis is a common diagnostic method for cancer detection. Due to the complex structure and wide variability in the texture of histopathology images, it has been challenging for pathologists to diagnose manually those images. Automatic segmentation of histopathology images to diagnose cancer disease is a continuous exploration field in recent times. Segmentation and analy...
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#1Oded Aminov (UBC: University of British Columbia)H-Index: 1
#2William D. ReganH-Index: 16
Last. Antony J. Hodgson (UBC: University of British Columbia)H-Index: 23
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PURPOSE Surgical navigation systems have demonstrated improvements in alignment accuracy in a number of arthroplasty procedures, but they have not yet been widely adopted for use in total shoulder arthroplasty (TSA). We believe this is due in part to the obtrusiveness of conventional optical tracking systems, as well as the need for additional intraoperative steps such as calibration and registration. The purpose of this study is to evaluate the feasibility of adapting a less-intrusive dental na...
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#1Yunchao Gu (Beihang University)
#2Xinliang Wang (Beihang University)
Last. Zhong Zhou (Beihang University)
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Diabetic retinopathy (DR) has become the leading cause of blindness worldwide. In clinical practice, the detection of DR often takes a lot of time and effort for ophthalmologist. It is necessary to develop an automatic assistant diagnosis method based on medical image analysis techniques. Firstly, we design a feature enhanced attention module to capture focus lesions and regions. Secondly, we propose a stage sampling strategy to solve the problem of data imbalance on datasets and avoid the CNN i...
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#1Sheng Li (Zhejiang University of Technology)H-Index: 9
#2Xueting Kong (Zhejiang University of Technology)
Last. Ruibiao Fu (ZJU: Zhejiang University)
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PURPOSE Precise segmentation of intestinal wall vessels is vital to colonic perforation prevention. However, there are interferences such as gastric juice in the vessel image of the intestinal wall, especially vessels and the mucosal folds are difficult to distinguish, which easily lead to mis-segmentation. In addition, the insufficient feature extraction of intricate vessel structures may leave out information of tiny vessels that result in rupture. To overcome these challenges, an effective ne...
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#1Ryosuke Saito (University of Electro-Communications)H-Index: 1
#2Norihiro Koizumi (University of Electro-Communications)H-Index: 11
Last. Masahiro Ogawa (Nihon University)H-Index: 12
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Diagnosis of liver fibrosis is important for establishing treatment and assessing the risk of carcinogenesis. Ultrasound imaging is an excellent diagnostic method as a screening test in terms of non-invasiveness and simplicity. The purpose of this study was to automatically diagnose liver fibrosis using ultrasound images to reduce the burden on physicians. We proposed and implemented a system for extracting regions of liver parenchyma utilizing U-Net. Using regions of interest, the stage of fibr...
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#1Daniel Paysan (ETH Zurich)
#2Luis Haug (ETH Zurich)H-Index: 5
Last. Joachim M. Buhmann (ETH Zurich)H-Index: 74
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Purpose: Virtual reality-based simulators have the potential to become an essential part of surgical education. To make full use of this potential, they must be able to automatically recognize activities performed by users and assess those. Since annotations of trajectories by human experts are expensive, there is a need for methods that can learn to recognize surgical activities in a data-efficient way. Methods: We use self-supervised training of deep encoder–decoder architectures to learn repr...
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#1Federica Ruggiero (ICH: UCL Institute of Child Health)H-Index: 3
#2Giovanni BadialiH-Index: 12
Last. Alessandro Borghi (ICH: UCL Institute of Child Health)H-Index: 15
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Sliding genioplasty is used to surgically correct a retruded or misaligned chin: in this procedure, an osteotomy is performed and the bony segment is repositioned. In this study we investigate the effect of surgical parameters (bony segment movement, osteotomy design) on postop soft tissue changes in a patient cohort. Seven patients were retrospectively recruited. Cone beam computed tomography data were obtained and soft tissue and bone shape reconstructions were performed. 3D models were create...
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#1Aaron Sújar (URJC: King Juan Carlos University)H-Index: 2
#2Graham Kelly (Telford)H-Index: 1
Last. Franck Vidal (Bangor University)H-Index: 47
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PURPOSE Traditional undergraduate radiographer training mixes academic lectures and clinical practice. Our goal is to bridge the current disconnection between theory and practice in a safe environment, avoiding the risk of radiation for both practitioners and patients. To this end, this research proposes a new software to teach diagnostic radiography using real-time interactive X-ray simulation and patient positioning. METHODS The proposed medical simulator is composed of three main modules. A f...
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Top fields of study
Radiology
Ultrasound
Health informatics
Pattern recognition
Computer vision
Computer science
Medicine
Segmentation