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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…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Hussein Hashem , Yasmin Alsakar , Ahmed Elgarayhi , Mohammed Elmogy , Mohammed Sallah

In 2020, prostate cancer saw a staggering 1.4 million new cases, resulting in over 375,000 deaths. The accurate identification of clinically significant prostate cancer is crucial for delivering effective treatment to patients.…

Image and Video Processing · Electrical Eng. & Systems 2024-05-14 Chi-en Amy Tai , Alexander Wong

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…

Image and Video Processing · Electrical Eng. & Systems 2022-08-30 Carlos Nácher Collado

Prostate cancer is the second deadliest cancer for American men. While Magnetic Resonance Imaging (MRI) is increasingly used to guide targeted biopsies for prostate cancer diagnosis, its utility remains limited due to high rates of false…

Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy target definition. However the time needed to delineate the…

Image and Video Processing · Electrical Eng. & Systems 2020-11-17 David Gillespie , Connah Kendrick , Ian Boon , Cheng Boon , Tim Rattay , Moi Hoon Yap

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…

Image and Video Processing · Electrical Eng. & Systems 2022-07-22 Mahdi Gilany , Paul Wilson , Amoon Jamzad , Fahimeh Fooladgar , Minh Nguyen Nhat To , Brian Wodlinger , Purang Abolmaesumi , Parvin Mousavi

Non-invasive prostate cancer detection from MRI has the potential to revolutionize patient care by providing early detection of clinically-significant disease (ISUP grade group >= 2), but has thus far shown limited positive predictive…

Image and Video Processing · Electrical Eng. & Systems 2022-12-14 Abhejit Rajagopal , Antonio C. Westphalen , Nathan Velarde , Tim Ullrich , Jeffry P. Simko , Hao Nguyen , Thomas A. Hope , Peder E. Z. Larson , Kirti Magudia

Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X-rays. However, data scarcity has been the roadblock of applying deep learning models directly on prostate…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Weiwei Zong , Joon Lee , Chang Liu , Eric Carver , Aharon Feldman , Branislava Janic , Mohamed Elshaikh , Milan Pantelic , David Hearshen , Indrin Chetty , Benjamin Movsas , Ning Wen

Prostate cancer is the second most common form of cancer, though most patients have a positive prognosis with many experiencing long-term survival with current treatment options. Yet, each treatment carries varying levels of intensity and…

Quantitative Methods · Quantitative Biology 2024-10-31 Jefferson Zhou , Kahn Rhrissorrakrai

The diagnosis of prostate cancer faces a problem with overdiagnosis that leads to damaging side effects due to unnecessary treatment. Research has shown that the use of multi-parametric magnetic resonance images to conduct biopsies can…

Image and Video Processing · Electrical Eng. & Systems 2021-06-04 Pedro C. Neto

Prostate cancer (PCa) is the most frequently diagnosed malignancy in men and the eighth leading cause of cancer death worldwide. Multiparametric MRI (mpMRI) has become central to the diagnostic pathway for men at intermediate risk,…

Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the anisotropic resolution of MR data. Furthermore, providing an…

Image and Video Processing · Electrical Eng. & Systems 2024-07-02 Alex Ling Yu Hung , Haoxin Zheng , Kai Zhao , Kaifeng Pang , Demetri Terzopoulos , Kyunghyun Sung

Prostate cancer (PCa) is a severe disease among men globally. It is important to identify PCa early and make a precise diagnosis for effective treatment. For PCa diagnosis, Multi-parametric magnetic resonance imaging (mpMRI) emerged as an…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Anil B. Gavade , Neel Kanwal , Priyanka A. Gavade , Rajendra Nerli

Prostate cancer (PCa) is the most prevalent cancer among men in the United States, accounting for nearly 300,000 cases, 29\% of all diagnoses and 35,000 total deaths in 2024. Traditional screening methods such as prostate-specific antigen…

Image and Video Processing · Electrical Eng. & Systems 2025-05-27 Jarett Dewbury , Chi-en Amy Tai , Alexander Wong

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…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Ping-Chang Lin , Teodora Szasz , Hakizumwami B. Runesha

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…

Image and Video Processing · Electrical Eng. & Systems 2024-06-04 Meng Zhou , Amoon Jamzad , Jason Izard , Alexandre Menard , Robert Siemens , Parvin Mousavi

Background: Transrectal ultrasound guided systematic biopsies of the prostate is a routine procedure to establish a prostate cancer diagnosis. However, the 10-12 prostate core biopsies only sample a relatively small volume of the prostate,…

Image and Video Processing · Electrical Eng. & Systems 2022-04-20 Bojing Liu , Yinxi Wang , Philippe Weitz , Johan Lindberg , Johan Hartman , Lars Egevad , Henrik Grönberg , Martin Eklund , Mattias Rantalainen

Prostate cancer diagnosis through MR imaging have currently relied on radiologists' interpretation, whilst modern AI-based methods have been developed to detect clinically significant cancers independent of radiologists. In this study, we…

Image and Video Processing · Electrical Eng. & Systems 2026-01-09 Xiangcen Wu , Yipei Wang , Qianye Yang , Natasha Thorley , Shonit Punwani , Veeru Kasivisvanathan , Ester Bonmati , Yipeng Hu

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…

Early detection of many life-threatening diseases (e.g., prostate and breast cancer) within at-risk population can improve clinical outcomes and reduce cost of care. While numerous disease-specific "screening" tests that are closer to…

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