Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier

Research article (Journal of Applied Biomedicine, 2018) · cited 47× · AI/ML
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Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier

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Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier is a scholarly article[1].

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  • Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/computer-aided-diagnosis-of-clinically-significant-prostate-cancer-from-mri-images-using-sparse-autoencoder-and-random-f
MLA “Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computer-aided-diagnosis-of-clinically-significant-prostate-cancer-from-mri-images-using-sparse-autoencoder-and-random-f.
BibTeX @misc{4ortxyz_computer-aided-diagnosis-of-clinically-significant-prostate-cancer-from-mri-images-using-sparse-autoencoder-and-random-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier}}, year = {2026}, url = {https://4ort.xyz/entity/computer-aided-diagnosis-of-clinically-significant-prostate-cancer-from-mri-images-using-sparse-autoencoder-and-random-f}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier — https://4ort.xyz/entity/computer-aided-diagnosis-of-clinically-significant-prostate-cancer-from-mri-images-using-sparse-autoencoder-and-random-f (retrieved 2026-05-24)

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