Computer vision techniques for growth prediction: A prisma-based systematic literature review

Y Harie, BP Gautam, K Wasaki - Applied Sciences, 2023 - mdpi.com
Growth prediction technology is not only a practical application but also a crucial approach
that strengthens the safety of image processing techniques. By supplementing the growth …

RETRACTED: Deep learning aided prostate cancer detection for early diagnosis & treatment using MR with TRUS images

G Sucharitha, R Rani, N Bhat… - Journal of Intelligent & …, 2024 - content.iospress.com
Together, transrectal ultrasonography (TRUS) with magnetic resonance (MR) imaging has
improved the biopsy yield of high-risk tumours during targeted prostate biopsy. Image …

Application of improved support vector machine for pulmonary syndrome exposure with computer vision measures

AO Khadidos, AM Alshareef, H Manoharan… - Current …, 2024 - benthamdirect.com
Background: In many medically developed applications, the process of early diagnosis in
cases of pulmonary disease does not exist. Many people experience immediate suffering …

Efficient single image-based dehazing technique using convolutional neural networks

HB Gade, VK Odugu, VN, RK - Multimedia Tools and Applications, 2024 - Springer
This research proposes a learning-based efficient single-image dehazing method.
Dehazing, discriminator, and fine-tuning networks build the end-to-end network model …

Enhancing Password Security via Supervised Learning

Y Alkurdi, M Al Fayoumi, A Al-Badarneh… - 2023 International …, 2023 - ieeexplore.ieee.org
Text-based passwords are currently the most widely used form of authentication and are
expected to remain so. However, since these passwords are typically made up of …

Modified restricted Boltzmann machine (mRBM) for denoising of motion artifact-induced MRI scans

V Tripathi, MN Tibdewal, R Mishra - Research on Biomedical Engineering, 2023 - Springer
Motion artifacts in magnetic resonance imaging (MRI) are one of the issues that can affect
diagnosis. To remove this motion artifact from MRI, we propose a modified restricted …

Hybrid deep autoencoder network based adaptive cross guided bilateral filter for motion artifacts correction and denoising from MRI

S Samuel, RS Ochawar… - The Imaging Science …, 2024 - Taylor & Francis
Removal of motion artifacts from medical images is essential, because the respiration by
patient causes degradation in artifact removal. Therefore, getting an MRI without any …

Fuzzy Deep Learning Approach for the Early Detection of Degenerative Disease.

SY Irianto, S Karnila - International Journal of Advanced …, 2024 - search.ebscohost.com
Degenerative diseases can impact individuals of any age, encompassing children and
teenagers; however, they typically tend to affect productive or adult individuals. Globally …

[ЦИТИРОВАНИЕ][C] 基于 Transformer 的车道线分割算法研究

丁志江, **丹, 马志程, 张宝龙 - 电子测量与仪器学报, 2022

[ЦИТИРОВАНИЕ][C] Supervised Learning based LSTM model for Enhancing Password Security

Y Gowthami, S Aruna