Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture

Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and early detection remains debated. Using Deep Learning (DL) alg...

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Vydáno v:	BMC medical informatics and decision making Ročník 24; číslo 1; s. 23 - 14
Hlavní autoři:	Talaat, Fatma M., El-Sappagh, Shaker, Alnowaiser, Khaled, Hassan, Esraa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 24.01.2024 BioMed Central Ltd Springer Nature B.V BMC
Témata:	Accuracy Algorithms Analysis Biopsy Cancer Cancer therapies Convolution neural network Datasets Deep Learning Diagnosis Dual optimizer Efficiency Genetics Health Facilities Health Informatics Humans Information Systems and Communication Service Innovations Literature reviews Machine learning Male Management of Computing and Information Systems Medical diagnosis Medical imaging Medicine Medicine & Public Health Methods Neural networks Prostate Prostate cancer Prostate cancer detection Prostatic Neoplasms - diagnostic imaging ResNet50 Tumors Egypt Prostate cancer detection Dual optimizer Convolution neural network ResNet50
ISSN:	1472-6947, 1472-6947
On-line přístup:	Získat plný text
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