Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model-Reference-Cited by-同舟云学术

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Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model

Published:2023-12-04 Issue: Volume: Page:393-396
ISSN:
Container-title:2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Panic Jovana¹,Defeudis Arianna²,Regge Daniele³,Balestra Gabriella¹,Rosati Samanta¹,Giannini Valentina²

Affiliation:

1. Polytechnic of Turin,Dept. of Electronics and Telecommunications,Turin,Italy

2. University of Turin and Candiolo Cancer Institute,FPO-IRCCS,Dept. of Surgical Science,Turin,Italy

3. Candiolo Cancer Institute,FPO-IRCCS,Dept. of Radiology,Turin,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10431814/10431802/10431877.pdf?arnumber=10431877

Reference13 articles.

1. Virtual biopsy in abdominal pathology: where do we stand?

2. Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size

3. The Effect of Training Sample Size on the Prediction of White Matter Hyperintensity Volume in a Healthy Population Using BIANCA

4. The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients

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