Academic Journal

The Optimization of the Light-Source Spectrum Utilizing Neural Networks for Detecting Oral Lesions

التفاصيل البيبلوغرافية
العنوان: The Optimization of the Light-Source Spectrum Utilizing Neural Networks for Detecting Oral Lesions
المؤلفون: Kenichi Ito, Hiroshi Higashi, Ari Hietanen, Pauli Fält, Kyoko Hine, Markku Hauta-Kasari, Shigeki Nakauchi
المصدر: Journal of Imaging, Vol 9, Iss 1, p 7 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: computational lighting, spectral imaging, machine learning, spectrum estimation, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
الوصف: Any change in the light-source spectrum modifies the color information of an object. The spectral distribution of the light source can be optimized to enhance specific details of the obtained images; thus, using information-enhanced images is expected to improve the image recognition performance via machine vision. However, no studies have applied light spectrum optimization to reduce the training loss in modern machine vision using deep learning. Therefore, we propose a method for optimizing the light-source spectrum to reduce the training loss using neural networks. A two-class classification of one-vs-rest among the classes, including enamel as a healthy condition and dental lesions, was performed to validate the proposed method. The proposed convolutional neural network-based model, which accepts a 5 × 5 small patch image, was compared with an alternating optimization scheme using a linear-support vector machine that optimizes classification weights and lighting weights separately. Furthermore, it was compared with the proposed neural network-based algorithm, which inputs a pixel and consists of fully connected layers. The results of the five-fold cross-validation revealed that, compared to the previous method, the proposed method improved the F1-score and was superior to the models that were using the immutable standard illuminant D65.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2313-433X
Relation: https://www.mdpi.com/2313-433X/9/1/7; https://doaj.org/toc/2313-433X
DOI: 10.3390/jimaging9010007
URL الوصول: https://doaj.org/article/b18f2aea68a64cedad8789ae97ea9019
رقم الانضمام: edsdoj.b18f2aea68a64cedad8789ae97ea9019
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2313433X
DOI:10.3390/jimaging9010007