Olaide N Oyelade
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Explore the profile of Olaide N Oyelade including associated specialties, affiliations and a list of published articles.
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14
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85
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Recent Articles
1.
Oyelade O, Irunokhai E, Wang H
Sci Rep
. 2024 Jan;
14(1):692.
PMID: 38184742
There is a wide application of deep learning technique to unimodal medical image analysis with significant classification accuracy performance observed. However, real-world diagnosis of some chronic diseases such as breast...
2.
Mohamed T, Oyelade O, Ezugwu A
PLoS One
. 2023 Aug;
18(8):e0285796.
PMID: 37590282
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung...
3.
Ezugwu A, Oyelade O, Ikotun A, Agushaka J, Ho Y
Arch Comput Methods Eng
. 2023 Jun;
:1-31.
PMID: 37359741
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every field, such as natural language processing, pattern recognition, object detection, image recognition, earth...
4.
Oyelade O, Agushaka J, Ezugwu A
PLoS One
. 2023 Mar;
18(3):e0282812.
PMID: 36930670
Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. The evaluation and suitability of these selected features are often analyzed...
5.
Agushaka J, Akinola O, Ezugwu A, Oyelade O, Saha A
PLoS One
. 2022 Nov;
17(11):e0275346.
PMID: 36322574
This paper proposes an improvement to the dwarf mongoose optimization (DMO) algorithm called the advanced dwarf mongoose optimization (ADMO) algorithm. The improvement goal is to solve the low convergence rate...
6.
Oyelade O, Ezugwu A
Sci Rep
. 2022 Oct;
12(1):17916.
PMID: 36289321
Feature classification in digital medical images like mammography presents an optimization problem which researchers often neglect. The use of a convolutional neural network (CNN) in feature extraction and classification has...
7.
Akinola O, Ezugwu A, Oyelade O, Agushaka J
Sci Rep
. 2022 Sep;
12(1):14945.
PMID: 36056062
The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable balance of the exploration and exploitation phases as a...
8.
Oyelade O, Ezugwu A, Venter H, Mirjalili S, Gandomi A
Comput Biol Med
. 2022 Aug;
149:105943.
PMID: 35986967
The task of classification and localization with detecting abnormalities in medical images is considered very challenging. Computer-aided systems have been widely employed to address this issue, and the proliferation of...
9.
Oyelade O, Ezugwu A, Almutairi M, Saha A, Abualigah L, Chiroma H
Sci Rep
. 2022 Apr;
12(1):6166.
PMID: 35418566
Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the...
10.
Oyelade O, Ezugwu A
Sci Rep
. 2022 Apr;
12(1):5913.
PMID: 35396565
Research in deep learning (DL) has continued to provide significant solutions to the challenges of detecting breast cancer in digital images. Image preprocessing methods and architecture enhancement techniques have been...