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相关论文: Capsule GAN for Prostate MRI Super-Resolution

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Acquiring High Resolution (HR) Magnetic Resonance (MR) images requires the patient to remain still for long periods of time, which causes patient discomfort and increases the probability of motion induced image artifacts. A possible…

图像与视频处理 · 电气工程与系统科学 2019-12-23 Rewa Sood , Mirabela Rusu

Prostate cancer is the most dangerous cancer diagnosed in men worldwide. Prostate diagnosis has been affected by many factors, such as lesion complexity, observer visibility, and variability. Many techniques based on Magnetic Resonance…

图像与视频处理 · 电气工程与系统科学 2022-08-02 Hussein Hashem , Yasmin Alsakar , Ahmed Elgarayhi , Mohammed Elmogy , Mohammed Sallah

Prostate cancer is a prevalent malignancy among men aged 50 and older. Current diagnostic methods primarily rely on blood tests, PSA:Prostate-Specific Antigen levels, and Digital Rectal Examinations (DRE). However, these methods suffer from…

机器学习 · 计算机科学 2023-09-28 Amit Mathapati

Prostate cancer is a commonly diagnosed cancerous disease among men world-wide. Even with modern technology such as multi-parametric magnetic resonance tomography and guided biopsies, the process for diagnosing prostate cancer remains time…

图像与视频处理 · 电气工程与系统科学 2024-04-17 Malte Rippa , Ruben Schulze , Marian Himstedt , Felice Burn

Accuracy and precision of measurements are important for patient follow up in oncology but, unfortunately, partial volume effects introduce an undesired variability between observers. Super resolution techniques (SR) combine multiple…

医学物理 · 物理学 2015-06-25 Estanislao Oubel , Hubert Beaumont , Antoine Iannessi

Super-resolution (SR) for image enhancement has great importance in medical image applications. Broadly speaking, there are two types of SR, one requires multiple low resolution (LR) images from different views of the same object to be…

图像与视频处理 · 电气工程与系统科学 2018-10-17 Jin Zhu , Guang Yang , Pietro Lio

Magnetic Resonance (MR) imaging is a diagnostic tool used in modern medicine; however, its output can be affected by motion artefacts and may be limited by equipment. This research focuses on MRI image quality enhancement using two…

图像与视频处理 · 电气工程与系统科学 2026-03-03 Muneeba Rashid , Hina Shakir , Humaira Mehwish , Asarim Amir , Reema Qaiser Khan

While current research has shown the importance of Multi-parametric MRI (mpMRI) in diagnosing prostate cancer (PCa), further investigation is needed for how to incorporate the specific structures of the mpMRI data, such as the regional…

机器学习 · 统计学 2021-11-04 Jin Jin , Lin Zhang , Ethan Leng , Gregory J. Metzger , Joseph S. Koopmeiners

The emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), which is the most prevalent malignancy in males in the western world, enabling a better selection of…

Prostate segmentation from Magnetic Resonance (MR) images plays an important role in image guided interven- tion. However, the lack of clear boundary specifically at the apex and base, and huge variation of shape and texture between the…

计算机视觉与模式识别 · 计算机科学 2017-03-29 Qikui Zhu , Bo Du , Baris Turkbey , Peter L . Choyke , Pingkun Yan

Prostate cancer (PCa) is the most common cancer in men in the United States. Multiparametic magnetic resonance imaging (mp-MRI) has been explored by many researchers to targeted prostate biopsies and radiation therapy. However, assessment…

计算机视觉与模式识别 · 计算机科学 2019-04-05 Zhenzhen Dai , Eric Carver , Chang Liu , Joon Lee , Aharon Feldman , Weiwei Zong , Milan Pantelic , Mohamed Elshaikh , Ning Wen

Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that significantly enhances diagnostic accuracy. Recent advancements…

Prostate cancer was the third most common cancer in 2020 internationally, coming after breast cancer and lung cancer. Furthermore, in recent years prostate cancer has shown an increasing trend. According to clinical experience, if this…

图像与视频处理 · 电气工程与系统科学 2022-08-30 Carlos Nácher Collado

Prostate cancer is one of the most common cancers in men. It is characterized by a slow growth and it can be diagnosed in an early stage by observing the Prostate Specific Antigen (PSA). However, a relapse after the primary therapy could…

组织与器官 · 定量生物学 2016-06-29 Emma Perracchione , Ilaria Stura

Acquiring High Resolution (HR) Magnetic Resonance (MR) images requires the patient to remain still for long periods of time, which causes patient discomfort and increases the probability of motion induced image artifacts. A possible…

图像与视频处理 · 电气工程与系统科学 2019-12-23 Rewa Sood , Binit Topiwala , Karthik Choutagunta , Rohit Sood , Mirabela Rusu

Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit low specificity and significant inter-observer variability, leading to potential delays or inaccuracies in identifying clinically significant…

The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) via novel, clinically relevant reconstruction approaches. In…

In the United States, prostate cancer is the second leading cause of deaths in males with a predicted 35,250 deaths in 2024. However, most diagnoses are non-lethal and deemed clinically insignificant which means that the patient will likely…

机器学习 · 计算机科学 2024-11-08 Benjamin Ng , Chi-en Amy Tai , E. Zhixuan Zeng , Alexander Wong

Prostate cancer is a leading cause of cancer-related deaths among men. The recent development of high frequency, micro-ultrasound imaging offers improved resolution compared to conventional ultrasound and potentially a better ability to…

Machine Learning, particularly Generative Adversarial Networks (GANs), has revolutionised Super-Resolution (SR). However, generated images often lack physical meaningfulness, which is essential for scientific applications. Our approach,…

图像与视频处理 · 电气工程与系统科学 2025-08-13 Md Rakibul Hasan , Pouria Behnoudfar , Dan MacKinlay , Thomas Poulet
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