mlsanityData to 14 Oct 2026

Effects of Image Size on Deep Learning

arXiv 2101.11508 ↗First posted 27 Jan 2021cs.CV cs.LG eess.IVcited by 8

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Abstract (arXiv)

In this work, the best size for late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) images in the training dataset was determined to optimize deep learning training outcomes. Non-extra pixel and extra pixel interpolation algorithms were used to determine the new size of the LGE-MRI images. A novel strategy was introduced to handle interpolation masks and remove extra class labels in interpolated ground truth (GT) segmentation masks. The expectation maximization, weighted intensity, a priori information (EWA) algorithm was used for quantification of myocardial infarction (MI) in automatically segmented LGE-MRI images. Arbitrary threshold, comparison of the sums, and sums of differences are methods used to estimate the relationship between semi-automatic or manual and fully automated quantification of myocardial infarction (MI) results. The relationship between semi-automatic and fully automated quantification of MI results was found to be closer in the case of bigger LGE MRI images (55.5% closer to manual results) than in the case of smaller LGE MRI images (22.2% closer to manual results).

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 13 of its 61 references that are in the map. First posted on arXiv 27 Jan 2021.

Builds on

13 of 61 references.

References · 13

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1 more
  1. 2020Evaluation of deep learning-based myocardial infarction quantification using Segment CMR softwarecited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 4; 2026: 1.

8 papers.

  1. 2023Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learningcited by 3
  2. 2023Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particlescited by 3
  3. 2025Beyond Nearest Neighbor Interpolation in Data Augmentationcited by 2
  4. 2025Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognitioncited by 1
  5. 2021Challenges of 3D Surface Reconstruction in Capsule Endoscopycited by 0
  6. 2025Deep Learning in Mild Cognitive Impairment Diagnosis using Eye Movements and Image Content in Visual Memory Taskscited by 0
  7. 2025Artificial Intelligence in the Food Industry: Food Waste Estimation based on Computer Vision, a Brief Case Study in a University Dining Hallcited by 0
  8. 2026Stride Independent Patching for Deep Learningcited by 0