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Related papers: Discovery Radiomics for Multi-Parametric MRI Prost…

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Radiological imaging of prostate is becoming more popular among researchers and clinicians in searching for diseases, primarily cancer. Scans might be acquired at different times, with patient movement between scans, or with different…

Computer Vision and Pattern Recognition · Computer Science 2013-11-05 Xin Zhao , Arie Kaufman

Computer aided diagnosis (CAD) of Breast Cancer (BRCA) images has been an active area of research in recent years. The main goals of this research is to develop reliable automatic methods for detecting and diagnosing different types of BRCA…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Marco A. V. M. Grinet , Nuno M. Garcia , Ana I. R. Gouveia , Jose A. F. Moutinho , Abel J. P. Gomes

Colorectal and prostate cancers are the most common types of cancer in men worldwide. To diagnose colorectal and prostate cancer, a pathologist performs a histological analysis on needle biopsy samples. This manual process is time-consuming…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Remy Peyret , Duaa alSaeed , Fouad Khelifi , Nadia Al-Ghreimil , Heyam Al-Baity , Ahmed Bouridane

We investigate the connection between visual semantic features defined in PI-RADS and associated risk factors, moving beyond abnormal imaging findings, establishing a shared framework between medical and AI professionals by creating a…

Clinically significant prostate cancer (csPCa) is a leading cause of cancer death in men, yet it has a high survival rate if diagnosed early. Bi-parametric MRI (bpMRI) reading has become a prominent screening test for csPCa. However, this…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Vasileios Magoulianitis , Jiaxin Yang , Catherine A. Alexander , C. -C. Jay Kuo

Purpose: We aimed to develop deep machine learning (DL) models to improve the detection and segmentation of intraprostatic lesions (IL) on bp-MRI by using whole amount prostatectomy specimen-based delineations. We also aimed to investigate…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 Zhenzhen Dai , Ivan Jambor , Pekka Taimen , Milan Pantelic , Mohamed Elshaikh , Craig Rogers , Otto Ettala , Peter Boström , Hannu Aronen , Harri Merisaari , Ning Wen

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

Classical radiomic features are designed to quantify image appearance and intensity patterns. Compared with end-to-end deep learning (DL) models trained for disease classification, radiomics pipelines with low-dimensional parametric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Yaxi Chen , Simin Ni , Jingjing Zhang , Shaheer U. Saeed , Yipei Wang , Aleksandra Ivanova , Rikin Hargunani , Chaozong Liu , Jie Huang , Yipeng Hu

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…

Lung cancer remains the leading cause of cancer-related mortality worldwide, with survival strongly dependent on early detection. Standard-dose computed tomography (CT) screening using the Lung Imaging Reporting and Data System (Lung-RADS)…

A novel deep learning architecture (XmasNet) based on convolutional neural networks was developed for the classification of prostate cancer lesions, using the 3D multiparametric MRI data provided by the PROSTATEx challenge. End-to-end…

Computer Vision and Pattern Recognition · Computer Science 2017-03-14 Saifeng Liu , Huaixiu Zheng , Yesu Feng , Wei Li

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…

Machine Learning · Statistics 2021-11-04 Jin Jin , Lin Zhang , Ethan Leng , Gregory J. Metzger , Joseph S. Koopmeiners

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

Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor closely monitored via longitudinal…

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…

Image and Video Processing · Electrical Eng. & Systems 2024-04-17 Malte Rippa , Ruben Schulze , Marian Himstedt , Felice Burn

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…

Prostate cancer is the second most common cancer in males worldwide, and mpMRI is commonly used for diagnosis. However, interpreting mpMRI is challenging and requires expertise from radiologists. This highlights the urgent need for…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Kun Luo , Bowen Zheng , Shidong Lv , Jie Tao , Qiang Wei

Prostate cancer is a very common disease among adult men. One in seven Canadian men is diagnosed with this cancer in their lifetime. Super-Resolution (SR) can facilitate early diagnosis and potentially save many lives. In this paper, a…

Machine Learning · Computer Science 2021-05-21 Mahdiyar Molahasani Majdabadi , Younhee Choi , S. Deivalakshmi , Seokbum Ko

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

One of the distinct characteristics in radiologists' reading of multiparametric prostate MR scans, using reporting systems such as PI-RADS v2.1, is to score individual types of MR modalities, T2-weighted, diffusion-weighted, and dynamic…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Wen Yan , Bernard Chiu , Ziyi Shen , Qianye Yang , Tom Syer , Zhe Min , Shonit Punwani , Mark Emberton , David Atkinson , Dean C. Barratt , Yipeng Hu