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相关论文: Towards Multi-modality Fusion and Prototype-based …

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Prostate cancer is the most common noncutaneous cancer in the world. Recently, multi-modality transrectal ultrasound (TRUS) has increasingly become an effective tool for the guidance of prostate biopsies. With the aim of effectively…

图像与视频处理 · 电气工程与系统科学 2024-02-20 Hong Wu , Juan Fu , Hongsheng Ye , Yuming Zhong , Xuebin Zhou , Jianhua Zhou , Yi Wang

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, and accurate identification of clinically significant PCa (csPCa) is critical for timely intervention. Transrectal ultrasound (TRUS) is widely used for prostate…

图像与视频处理 · 电气工程与系统科学 2025-07-11 Zetian Feng , Juan Fu , Xuebin Zou , Hongsheng Ye , Hong Wu , Jianhua Zhou , Yi Wang

While deep learning methods have shown great promise in improving the effectiveness of prostate cancer (PCa) diagnosis by detecting suspicious lesions from trans-rectal ultrasound (TRUS), they must overcome multiple simultaneous challenges.…

Pre-biopsy magnetic resonance imaging (MRI) is increasingly used to target suspicious prostate lesions. This has led to artificial intelligence (AI) applications improving MRI-based detection of clinically significant prostate cancer…

Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) plays a vital role in the diagnosis and image-guided…

图像与视频处理 · 电气工程与系统科学 2024-10-08 Haiqiao Wang , Hong Wu , Zhuoyuan Wang , Peiyan Yue , Dong Ni , Pheng-Ann Heng , Yi Wang

Interpreting traditional B-mode ultrasound images can be challenging due to image artifacts (e.g., shadowing, speckle), leading to low sensitivity and limited diagnostic accuracy. While Magnetic Resonance Imaging (MRI) has been proposed as…

Prostate cancer is a major cause of cancer-related deaths in men, where early detection greatly improves survival rates. Although MRI-TRUS fusion biopsy offers superior accuracy by combining MRI's detailed visualization with TRUS's…

The detection of clinically significant prostate cancer lesions (csPCa) from biparametric magnetic resonance imaging (bp-MRI) has emerged as a noninvasive imaging technique for improving accurate diagnosis. Nevertheless, the analysis of…

计算机视觉与模式识别 · 计算机科学 2025-11-11 Mateo Ortiz , Juan Olmos , Fabio Martínez

The diagnosis of prostate cancer increasingly depends on multimodal imaging, particularly magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). However, accurate registration between these modalities remains a fundamental…

图像与视频处理 · 电气工程与系统科学 2025-06-03 Xudong Ma , Nantheera Anantrasirichai , Stefanos Bolomytis , Alin Achim

Prostate cancer biopsy benefits from accurate fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images. In the past few years, convolutional neural networks (CNNs) have been proved powerful in extracting image features…

计算机视觉与模式识别 · 计算机科学 2021-07-13 Xinrui Song , Hengtao Guo , Xuanang Xu , Hanqing Chao , Sheng Xu , Baris Turkbey , Bradford J. Wood , Ge Wang , Pingkun Yan

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to…

图像与视频处理 · 电气工程与系统科学 2024-03-05 Yi Wang , Haoran Dou , Xiaowei Hu , Lei Zhu , Xin Yang , Ming Xu , Jing Qin , Pheng-Ann Heng , Tianfu Wang , Dong Ni

Background and objective: Micro-ultrasound (micro-US) is a novel imaging modality with diagnostic accuracy comparable to MRI for detecting clinically significant prostate cancer (csPCa). We investigated whether artificial intelligence (AI)…

图像与视频处理 · 电气工程与系统科学 2025-05-28 Muhammad Imran , Wayne G. Brisbane , Li-Ming Su , Jason P. Joseph , Wei Shao

Biparametric magnetic resonance imaging (bpMRI) has demonstrated promising results in prostate cancer (PCa) detection using convolutional neural networks (CNNs). Recently, transformers have achieved competitive performance compared to CNNs…

图像与视频处理 · 电气工程与系统科学 2024-03-19 Yuheng Li , Jacob Wynne , Jing Wang , Richard L. J. Qiu , Justin Roper , Shaoyan Pan , Ashesh B. Jani , Tian Liu , Pretesh R. Patel , Hui Mao , Xiaofeng Yang

MOTIVATION: Detection of prostate cancer during transrectal ultrasound-guided biopsy is challenging. The highly heterogeneous appearance of cancer, presence of ultrasound artefacts, and noise all contribute to these difficulties. Recent…

图像与视频处理 · 电气工程与系统科学 2022-07-22 Mahdi Gilany , Paul Wilson , Amoon Jamzad , Fahimeh Fooladgar , Minh Nguyen Nhat To , Brian Wodlinger , Purang Abolmaesumi , Parvin Mousavi

We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model for automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR imaging (bpMRI). Deep attention mechanisms drive its detection…

图像与视频处理 · 电气工程与系统科学 2021-07-02 Anindo Saha , Matin Hosseinzadeh , Henkjan Huisman

Prostate Cancer (PCa) is a prevalent disease among men, and multi-parametric MRIs offer a non-invasive method for its detection. While MRI-based deep learning solutions have shown promise in supporting PCa diagnosis, acquiring sufficient…

图像与视频处理 · 电气工程与系统科学 2024-06-04 Meng Zhou , Amoon Jamzad , Jason Izard , Alexandre Menard , Robert Siemens , Parvin Mousavi

Transrectal ultrasound (TRUS) imaging is a cost-effective and non-invasive modality widely used in the diagnosis of prostate cancer. The computer-aided diagnosis (CAD) relying on TRUS images has been extensively investigated recently.…

计算机视觉与模式识别 · 计算机科学 2026-04-27 Xu Lu , Qianhong Peng , Qihao Zhou , Shaopeng Liu , Xiuqin Ye , Chuan Yang , Yuan Yuan

Prostate cancer is one of the most common causes of cancer deaths in men. There is a growing demand for noninvasively and accurately diagnostic methods that facilitate the current standard prostate cancer risk assessment in clinical…

图像与视频处理 · 电气工程与系统科学 2021-12-30 Ping-Chang Lin , Teodora Szasz , Hakizumwami B. Runesha

Medical imaging based prostate cancer diagnosis procedure uses intra-operative transrectal ultrasound (TRUS) imaging to visualize the prostate shape and location to collect tissue samples. Correct tissue sampling from prostate requires…

计算机视觉与模式识别 · 计算机科学 2019-03-22 M. S. Hossain , A. P. Paplinski , J. M. Betts

Prostate cancer being one of the frequently diagnosed malignancy in men, the rising demand for biopsies places a severe workload on pathologists. The grading procedure is tedious and subjective, motivating the development of automated…

计算机视觉与模式识别 · 计算机科学 2026-03-06 Riddhasree Bhattacharyya , Pallabi Dutta , Sushmita Mitra
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