Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI

PURPOSE: To evaluate a novel method of semisupervised learning (SSL) guided by automated sparse information from diagnostic reports to leverage additional data for deep learning–based malignancy detection in patients with clinically significant prostate cancer. MATERIALS AND METHODS: This retrospect...

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Detalles Bibliográficos
Autores principales: Bosma, Joeran S., Saha, Anindo, Hosseinzadeh, Matin, Slootweg, Ivan, de Rooij, Maarten, Huisman, Henkjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546362/
https://www.ncbi.nlm.nih.gov/pubmed/37795142
http://dx.doi.org/10.1148/ryai.230031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546362/
https://www.ncbi.nlm.nih.gov/pubmed/37795142
http://dx.doi.org/10.1148/ryai.230031

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