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Related papers: LUND-PROBE -- LUND Prostate Radiotherapy Open Benc…

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Thanks to advancements in diagnosis and treatment, prostate cancer patients have high long-term survival rates. Currently, an important goal is to preserve quality-of-life during and after treatment. The relationship between the radiation a…

Quantitative Methods · Quantitative Biology 2026-05-12 Zhijian Yang , Daniel Olszewski , Chujun He , Giulia Pintea , Jun Lian , Tom Chou , Ronald Chen , Blerta Shtylla

Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the true distribution. While different augmentation strategies…

Quantitative Methods · Quantitative Biology 2020-06-03 Ruqian Hao , Khashayar Namdar , Lin Liu , Masoom A. Haider , Farzad Khalvati

Traditional deep learning (DL) approaches based on supervised learning paradigms require large amounts of annotated data that are rarely available in the medical domain. Unsupervised Out-of-distribution (OOD) detection is an alternative…

Image and Video Processing · Electrical Eng. & Systems 2023-08-15 Alvaro Fernandez-Quilez , Linas Vidziunas , Ørjan Kløvfjell Thoresen , Ketil Oppedal , Svein Reidar Kjosavik , Trygve Eftestøl

In post-operative radiotherapy for prostate cancer, the cancerous prostate gland has been surgically removed, so the clinical target volume (CTV) to be irradiated encompasses the microscopic spread of tumor cells, which cannot be visualized…

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

BACKGROUND: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound…

Other Computer Science · Computer Science 2007-12-14 V. Daanen , J. Gastaldo , J. Y. Giraud , P. Fourneret , J. L. Descotes , M. Bolla , D. Collomb , Jocelyne Troccaz

We evaluated the temporal performance of a deep learning (DL) based artificial intelligence (AI) model for auto segmentation in prostate radiotherapy, seeking to correlate its efficacy with changes in clinical landscapes. Our study involved…

Image and Video Processing · Electrical Eng. & Systems 2023-11-17 Biling Wang , Michael Dohopolski , Ti Bai , Junjie Wu , Raquibul Hannan , Neil Desai , Aurelie Garant , Daniel Yang , Dan Nguyen , Mu-Han Lin , Robert Timmerman , Xinlei Wang , Steve Jiang

Prostate cancer is one of the most prevalent and deadly cancers among men, motivating the development of accurate and accessible imaging technologies for early detection. Ultrasound computed tomography (USCT) reconstructs quantitative…

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 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

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

Deep learning-based analysis of high-frequency, high-resolution micro-ultrasound data shows great promise for prostate cancer detection. Previous approaches to analysis of ultrasound data largely follow a supervised learning paradigm.…

Image and Video Processing · Electrical Eng. & Systems 2022-11-02 Paul F. R. Wilson , Mahdi Gilany , Amoon Jamzad , Fahimeh Fooladgar , Minh Nguyen Nhat To , Brian Wodlinger , Purang Abolmaesumi , Parvin Mousavi

Prostate cancer is the second-most frequently diagnosed cancer and the sixth leading cause of cancer death in males worldwide. The main problem that specialists face during the diagnosis of prostate cancer is the localization of Regions of…

Image and Video Processing · Electrical Eng. & Systems 2022-07-21 Pablo Cesar Quihui-Rubio , Gilberto Ochoa-Ruiz , Miguel Gonzalez-Mendoza , Gerardo Rodriguez-Hernandez , Christian Mata

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…

Deep learning; it is often used in dividing processes on images in the biomedical field. In recent years, it has been observed that there is an increase in the division procedures performed on prostate images using deep learning compared to…

Image and Video Processing · Electrical Eng. & Systems 2021-11-23 Elcin Huseyn , Emin Mammadov , Mohammad Hoseini

The recent introduction of synthetic correlated diffusion (CDI$^s$) imaging has demonstrated significant potential in the realm of clinical decision support for prostate cancer (PCa). CDI$^s$ is a new form of magnetic resonance imaging…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Hayden Gunraj , Chi-en Amy Tai , Alexander Wong

Radiologists often mix medical image reading strategies, including inspection of individual modalities and local image regions, using information at different locations from different images independently as well as concurrently. In this…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Xiangcen Wu , Shaheer U. Saeed , Yipei Wang , Ester Bonmati Coll , Yipeng Hu

Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML). Precise delineation of organs at risk (OARs) and target areas is essential for…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Ricardo Coimbra Brioso , Damiano Dei , Ciro Franzese , Nicola Lambri , Daniele Loiacono , Pietro Mancosu , Marta Scorsetti

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,…

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…

Machine Learning · Computer Science 2024-11-08 Benjamin Ng , Chi-en Amy Tai , E. Zhixuan Zeng , Alexander Wong