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Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in prostate cancer is the Gleason grading of histopathology images. The Gleason…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Mohammad Mahdi Behzadi , Mohammad Madani , Hanzhang Wang , Jun Bai , Ankit Bhardwaj , Anna Tarakanova , Harold Yamase , Ga Hie Nam , Sheida Nabavi

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

Prostate cancer (PCa) is one of the most common cancers in men around the world. The most accurate method to evaluate lesion levels of PCa is microscopic inspection of stained biopsy tissue and estimate the Gleason score of tissue…

Image and Video Processing · Electrical Eng. & Systems 2020-05-12 Yi-hong Zhang , Jing Zhang , Yang Song , Chaomin Shen , Guang Yang

For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic examination of tumor…

Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for treatment decisions is highly subjective and requires considerable expertise. Despite advances in computer-aided diagnosis systems, few have…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Riddhasree Bhattacharyya , Surochita Pal Das , Sushmita Mitra

The Gleason grading system using histological images is the most powerful diagnostic and prognostic predictor of prostate cancer. The current standard inspection is evaluating Gleason H&E-stained histopathology images by pathologists.…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Haotian Xie , Yong Zhang , Jun Wang , Jingjing Zhang , Yifan Ma , Zhaogang Yang

The Gleason score is the most important prognostic marker for prostate cancer patients but suffers from significant inter-observer variability. We developed a fully automated deep learning system to grade prostate biopsies. The system was…

Pathologists diagnose and grade prostate cancer by examining tissue from needle biopsies on glass slides. The cancer's severity and risk of metastasis are determined by the Gleason grade, a score based on the organization and morphology of…

Image and Video Processing · Electrical Eng. & Systems 2022-09-28 Alessandro Ferrero , Beatrice Knudsen , Deepika Sirohi , Ross Whitaker

Prostate cancer is one of the main diseases affecting men worldwide. The gold standard for diagnosis and prognosis is the Gleason grading system. In this process, pathologists manually analyze prostate histology slides under microscope, in…

Image and Video Processing · Electrical Eng. & Systems 2021-05-24 Julio Silva-Rodríguez , Adrián Colomer , Jose Dolz , Valery Naranjo

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 cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues. This paper proposes \RV{a new method} for segmenting the Gleason tissues…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Taimur Hassan , Bilal Hassan , Ayman El-Baz , Naoufel Werghi

Worldwide, prostate cancer is one of the main cancers affecting men. The final diagnosis of prostate cancer is based on the visual detection of Gleason patterns in prostate biopsy by pathologists. Computer-aided-diagnosis systems allow to…

Computer Vision and Pattern Recognition · Computer Science 2020-05-26 Amartya Kalapahar , Julio Silva-Rodríguez , Adrián Colomer , Fernando López-Mir , Valery Naranjo

The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately…

Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the detection of prostate cancer (PCa). However, characterizing prostate lesions aggressiveness in mp-MRI sequences is impossible in clinical practice, and…

Image and Video Processing · Electrical Eng. & Systems 2022-11-28 Audrey Duran , Gaspard Dussert , Olivier Rouvière , Tristan Jaouen , Pierre-Marc Jodoin , Carole Lartizien

Histology-based grade classification is clinically important for many cancer types in stratifying patients distinct treatment groups. In prostate cancer, the Gleason score is a grading system used to measure the aggressiveness of prostate…

Computer Vision and Pattern Recognition · Computer Science 2019-11-07 Jingwen Wang , Richard J. Chen , Ming Y. Lu , Alexander Baras , Faisal Mahmood

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 main diseases affecting men worldwide. The Gleason scoring system is the primary diagnostic tool for prostate cancer. This is obtained via the visual analysis of cancerous patterns in prostate biopsies…

Image and Video Processing · Electrical Eng. & Systems 2021-05-24 Julio Silva-Rodríguez , Adrián Colomer , Valery Naranjo

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.…

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

The Gleason groups serve as the primary histological grading system for prostate cancer, providing crucial insights into the cancer's potential for growth and metastasis. In clinical practice, pathologists determine the Gleason groups based…

Image and Video Processing · Electrical Eng. & Systems 2024-07-09 Yinsong Xu , Yipei Wang , Ziyi Shen , Iani J. M. B. Gayo , Natasha Thorley , Shonit Punwani , Aidong Men , Dean Barratt , Qingchao Chen , Yipeng Hu
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