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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…

图像与视频处理 · 电气工程与系统科学 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 (PCa) is one of the most common and aggressive cancers worldwide. The Gleason score (GS) system is the standard way of classifying prostate cancer and the most reliable method to determine the severity and treatment to…

计算机视觉与模式识别 · 计算机科学 2021-03-05 Santiago Toledo-Cortés , Diego H. Useche , Fabio A. González

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…

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…

图像与视频处理 · 电气工程与系统科学 2022-09-28 Alessandro Ferrero , Beatrice Knudsen , Deepika Sirohi , Ross Whitaker

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…

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…

定量方法 · 定量生物学 2024-10-31 Jefferson Zhou , Kahn Rhrissorrakrai

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…

计算机视觉与模式识别 · 计算机科学 2025-01-28 Riddhasree Bhattacharyya , Surochita Pal Das , Sushmita Mitra

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…

计算机视觉与模式识别 · 计算机科学 2020-05-26 Amartya Kalapahar , Julio Silva-Rodríguez , Adrián Colomer , Fernando López-Mir , Valery Naranjo

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…

计算机视觉与模式识别 · 计算机科学 2019-11-07 Jingwen Wang , Richard J. Chen , Ming Y. Lu , Alexander Baras , Faisal Mahmood

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.…

图像与视频处理 · 电气工程与系统科学 2020-12-10 Haotian Xie , Yong Zhang , Jun Wang , Jingjing Zhang , Yifan Ma , Zhaogang Yang

Prostate cancer is a dominant health concern calling for advanced diagnostic tools. Utilizing digital pathology and artificial intelligence, this study explores the potential of 11 deep neural network architectures for automated Gleason…

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…

计算机视觉与模式识别 · 计算机科学 2021-07-27 Taimur Hassan , Bilal Hassan , Ayman El-Baz , Naoufel Werghi

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…

图像与视频处理 · 电气工程与系统科学 2021-05-24 Julio Silva-Rodríguez , Adrián Colomer , Valery Naranjo

Despite considerable progress in developing artificial intelligence (AI) algorithms for prostate cancer detection from whole slide images, the clinical applicability of these models remains limited due to variability in pathological…

组织与器官 · 定量生物学 2024-06-12 T. J. Hart , Chloe Engler Hart , Spencer Hopson , Paul M. Urie , Dennis Della Corte

The current study detects different morphologies related to prostate pathology using deep learning models; these models were evaluated on 2,121 hematoxylin and eosin (H&E) stain histology images captured using bright field microscopy, which…

Artificial intelligence foundation models are increasingly deployed for prostate cancer Gleason grading, where GP3/GP4 distinction directly impacts treatment decisions. However, these models may achieve high validation accuracy by learning…

计算机视觉与模式识别 · 计算机科学 2025-12-18 Joshua L. Ebbert , Dennis Della Corte

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…

图像与视频处理 · 电气工程与系统科学 2022-11-28 Audrey Duran , Gaspard Dussert , Olivier Rouvière , Tristan Jaouen , Pierre-Marc Jodoin , Carole Lartizien

Background: An increasing volume of prostate biopsies and a world-wide shortage of uro-pathologists puts a strain on pathology departments. Additionally, the high intra- and inter-observer variability in grading can result in over- and…

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…

图像与视频处理 · 电气工程与系统科学 2021-05-24 Julio Silva-Rodríguez , Adrián Colomer , Jose Dolz , Valery Naranjo

Prostate cancer (PCa) was the most frequently diagnosed cancer among American men in 2023. The histological grading of biopsies is essential for diagnosis, and various deep learning-based solutions have been developed to assist with this…

图像与视频处理 · 电气工程与系统科学 2024-09-16 Ekaterina Redekop , Mara Pleasure , Zichen Wang , Anthony Sisk , Yang Zong , Kimberly Flores , William Speier , Corey W. Arnold
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