English
Related papers

Related papers: ColonNeRF: High-Fidelity Neural Reconstruction of …

200 papers

In surgical oncology, screening colonoscopy plays a pivotal role in providing diagnostic assistance, such as biopsy, and facilitating surgical navigation, particularly in polyp detection. Computer-assisted endoscopic surgery has recently…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Baoru Huang , Yida Wang , Anh Nguyen , Daniel Elson , Francisco Vasconcelos , Danail Stoyanov

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Faisal Mahmood , Nicholas J. Durr

Neural Radiance Fields (NeRF) have demonstrated impressive potential in synthesizing novel views from dense input, however, their effectiveness is challenged when dealing with sparse input. Existing approaches that incorporate additional…

Computer Vision and Pattern Recognition · Computer Science 2023-12-18 Zhangkai Ni , Peiqi Yang , Wenhan Yang , Hanli Wang , Lin Ma , Sam Kwong

One of the key elements of reconstructing a 3D mesh from a monocular video is generating every frame's depth map. However, in the application of colonoscopy video reconstruction, producing good-quality depth estimation is challenging.…

Image and Video Processing · Electrical Eng. & Systems 2021-11-23 Yubo Zhang , Jan-Michael Frahm , Samuel Ehrenstein , Sarah K. McGill , Julian G. Rosenman , Shuxian Wang , Stephen M. Pizer

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image…

We propose an estimation method using a recurrent neural network (RNN) of the colon's shape where deformation was occurred by a colonoscope insertion. Colonoscope tracking or a navigation system that navigates physician to polyp positions…

Computer Vision and Pattern Recognition · Computer Science 2020-04-29 Masahiro Oda , Holger R. Roth , Takayuki Kitasaka , Kazuhiro Furukawa , Ryoji Miyahara , Yoshiki Hirooka , Hidemi Goto , Nassir Navab , Kensaku Mori

Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdiagnosis. Localizing small polyps in colonoscopy images is…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Ju-Hyeon Nam , Seo-Hyeong Park , Nur Suriza Syazwany , Yerim Jung , Yu-Han Im , Sang-Chul Lee

Neural Radiance Fields (NeRFs) are a powerful representation for modeling a 3D scene as a continuous function. Though NeRF is able to render complex 3D scenes with view-dependent effects, few efforts have been devoted to exploring its…

Computer Vision and Pattern Recognition · Computer Science 2022-11-18 Yifan Jiang , Peter Hedman , Ben Mildenhall , Dejia Xu , Jonathan T. Barron , Zhangyang Wang , Tianfan Xue

In this study, we introduce BirdNeRF, an adaptation of Neural Radiance Fields (NeRF) designed specifically for reconstructing large-scale scenes using aerial imagery. Unlike previous research focused on small-scale and object-centric NeRF…

Computer Vision and Pattern Recognition · Computer Science 2024-02-13 Huiqing Zhang , Yifei Xue , Ming Liao , Yizhen Lao

Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy images is of great importance since it provides valuable…

Image and Video Processing · Electrical Eng. & Systems 2020-07-06 Deng-Ping Fan , Ge-Peng Ji , Tao Zhou , Geng Chen , Huazhu Fu , Jianbing Shen , Ling Shao

Neural Radiance Field (NeRF) technology has made significant strides in creating novel viewpoints. However, its effectiveness is hampered when working with sparsely available views, often leading to performance dips due to overfitting.…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Yuru Xiao , Xianming Liu , Deming Zhai , Kui Jiang , Junjun Jiang , Xiangyang Ji

Colonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applications, namely lesion detection and classification, providing…

Image and Video Processing · Electrical Eng. & Systems 2022-08-18 Edward Sanderson , Bogdan J. Matuszewski

Neural rendering has garnered substantial attention owing to its capacity for creating realistic 3D scenes. However, its applicability to extensive scenes remains challenging, with limitations in effectiveness. In this work, we propose the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Zhihao Jia , Bing Wang , Changhao Chen

Automatic pancreas segmentation in radiology images, eg., computed tomography (CT) and magnetic resonance imaging (MRI), is frequently required by computer-aided screening, diagnosis, and quantitative assessment. Yet pancreas is a…

Computer Vision and Pattern Recognition · Computer Science 2018-04-02 Jinzheng Cai , Le Lu , Fuyong Xing , Lin Yang

Colorectal polyps are generally benign alterations that, if not identified promptly and managed successfully, can progress to cancer and cause affectations on the colon mucosa, known as adenocarcinoma. Today advances in Deep Learning have…

Image and Video Processing · Electrical Eng. & Systems 2025-01-22 Daniela L. Ramos , Hector J. Hortua

Online reconstructing and rendering of large-scale indoor scenes is a long-standing challenge. SLAM-based methods can reconstruct 3D scene geometry progressively in real time but can not render photorealistic results. While NeRF-based…

Computer Vision and Pattern Recognition · Computer Science 2023-04-19 Yiming Gao , Yan-Pei Cao , Ying Shan

Reconstructing a 3D surface from colonoscopy video is challenging due to illumination and reflectivity variation in the video frame that can cause defective shape predictions. Aiming to overcome this challenge, we utilize the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Shuxian Wang , Yubo Zhang , Sarah K. McGill , Julian G. Rosenman , Jan-Michael Frahm , Soumyadip Sengupta , Stephen M. Pizer

Recent advances in neural rendering have enabled highly photorealistic 3D scene reconstruction and novel view synthesis. Despite this progress, current state-of-the-art methods struggle to reconstruct high frequency detail, due to factors…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Sibi Catley-Chandar , Richard Shaw , Gregory Slabaugh , Eduardo Perez-Pellitero

Colonoscopy is a vital tool for the early diagnosis of colorectal cancer, which is one of the main causes of cancer-related mortality globally; hence, it is deemed an essential technique for the prevention and early detection of colorectal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Ojonugwa Oluwafemi Ejiga Peter , Akingbola Oluwapemiisin , Amalahu Chetachi , Adeniran Opeyemi , Fahmi Khalifa , Md Mahmudur Rahman

Colorectal cancer is among the most common malignancies and can develop from high-risk colon polyps. Colonoscopy is an effective screening tool to detect and remove polyps, especially in the case of precancerous lesions. However, the…

Image and Video Processing · Electrical Eng. & Systems 2022-03-02 Dinh Viet Sang , Tran Quang Chung , Phan Ngoc Lan , Dao Viet Hang , Dao Van Long , Nguyen Thi Thuy
‹ Prev 1 2 3 10 Next ›