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Related papers: Cribriform pattern detection in prostate histopath…

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Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, convolutional neural network was trained to detect cribriform…

Image and Video Processing · Electrical Eng. & Systems 2020-09-14 Pierre Ambrosini , Eva Hollemans , Charlotte F. Kweldam , Geert J. L. H. van Leenders , Sjoerd Stallinga , Frans Vos

The Gleason scoring system is the primary diagnostic and prognostic tool for prostate cancer. In recent years, with the development of digitisation devices, the use of computer vision techniques for the analysis of biopsies has increased.…

Image and Video Processing · Electrical Eng. & Systems 2021-05-25 Julio Silva-Rodríguez , Adrián Colomer , María A. Sales , Rafael Molina , Valery Naranjo

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…

Histopathological assessments, including surgical resection and core needle biopsy, are the standard procedures in the diagnosis of the prostate cancer. Current interpretation of the histopathology images includes the determination of the…

Computer Vision and Pattern Recognition · Computer Science 2017-05-12 Naiyun Zhou , Andrey Fedorov , Fiona Fennessy , Ron Kikinis , Yi Gao

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

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

Background: Cribriform morphology in prostate cancer is a histological feature that indicates poor prognosis and contraindicates active surveillance. However, it remains underreported and subject to significant interobserver variability…

Histopathological image analysis is a reliable method for prostate cancer identification. In this paper, we present a comparative analysis of two approaches for segmenting glandular structures in prostate images to automate Gleason grading.…

Image and Video Processing · Electrical Eng. & Systems 2025-01-23 Feda Bolus Al Baqain , Omar Sultan Al-Kadi

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

For diagnosing melanoma, hematoxylin and eosin (H&E) stained tissue slides remains the gold standard. These images contain quantitative information in different magnifications. In the present study, we investigated whether deep…

Tissues and Organs · Quantitative Biology 2019-04-15 Peizhen Xie , Ke Zuo , Yu Zhang , Fangfang Li , Mingzhu Yin , Kai Lu

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…

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

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…

According to some medical imaging techniques, breast histopathology images called Hematoxylin and Eosin are considered as the gold standard for cancer diagnoses. Based on the idea of dividing the pathologic image (WSI) into multiple…

Image and Video Processing · Electrical Eng. & Systems 2022-07-13 Tat-Bao-Thien Nguyen , Minh-Vuong Ngo , Van-Phong Nguyen

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

Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland structures. These images are very challenging, and the task…

Image and Video Processing · Electrical Eng. & Systems 2019-11-05 Safiye Rezaei , Ali Emami , Nader Karimi , Shadrokh Samavi

Prostate cancer (PCa) is graded by pathologists by examining the architectural pattern of cancerous epithelial tissue on hematoxylin and eosin (H&E) stained slides. Given the importance of gland morphology, automatically differentiating…

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 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

Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagents and precious tissue samples that cannot be reused.…

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