Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm

Developing an artificial intelligence-based prostate cancer detection and diagnosis system that can automatically determine important regions and accurately classify the determined regions on an input biopsy image. The Yolo general-purpose object detection algorithm was utilized to detect important...

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Vydáno v:	Expert systems with applications Ročník 201; s. 117148
Hlavní autoři:	Salman, Mehmet Emin, Çakirsoy Çakar, Gözde, Azimjonov, Jahongir, Kösem, Mustafa, Cedi̇moğlu, İsmail Hakkı
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 01.09.2022 Elsevier BV
Témata:	Accuracy Algorithms Artificial intelligence Biopsy Computer vision Data augmentation Datasets Deep learning Diagnosis Gleason grading Image classification Machine learning Medical imaging Object recognition Prostate cancer Prostate cancer detection Prostate tissue classification Test sets Deep learning Gleason grading Prostate cancer detection Prostate tissue classification
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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