Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images

E Goceri - Computers in Biology and Medicine, 2023 - Elsevier
Computerized methods provide analyses of skin lesions from dermoscopy images
automatically. However, the images acquired from dermoscopy devices are noisy and cause …

Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion

H El-khatib, AM Ștefan, D Popescu - Applied Sciences, 2023 - mdpi.com
The incidence of melanoma cases continues to rise, underscoring the critical need for early
detection and treatment. Recent studies highlight the significance of deep learning in …

[PDF][PDF] A cascaded design of best features selection for fruit diseases recognition

FA Shah, MA Khan, M Sharif, U Tariq, A Khan… - Comput. Mater …, 2022 - researchgate.net
Fruit diseases seriously affect the production of the agricultural sector, which builds financial
pressure on the country's economy. The manual inspection of fruit diseases is a chaotic …

[PDF][PDF] Flower identification and classification using computer vision and machine learning techniques

I Patel, S Patel - … of Engineering and Advanced Technology (IJEAT …, 2019 - researchgate.net
Computer vision techniques plays an important role in extracting meaningful information
from images. A process of extraction, analysis, and understanding of information from …

Improving Early Detection and Classification of Lung Diseases with Innovative MobileNetV2 Framework

A Tripathi, T Singh, RR Nair, P Duraisamy - IEEE Access, 2024 - ieeexplore.ieee.org
Any condition that damages or impedes the normal operation of the lungs is classified as a
lung disease, and failure to identify and address it early can potentially lead to false …

[PDF][PDF] Comparison hybrid techniques-based mixed transform using compression and quality metrics

ZIA Al-Rifaee, SI Abood, TZ Ismaeel - Indonesian Journal of …, 2023 - academia.edu
Image quality plays a vital role in improving and assessing image compression
performance. Image compression represents big image data to a new image with a smaller …

Enhancement and removal of noise from medical images by wavelet transform method

N Mittal, A Raj, H Goyal - 2019 3rd International conference on …, 2019 - ieeexplore.ieee.org
The medical images are often received in poor visibility qualities and conditions due to
various factors such as poor scanning and transmission. As a result, it ends up with …

Detection of Covid Disease using Computed Tomography Images

A Tripathi, T Singh, BP Kn… - 2023 14th International …, 2023 - ieeexplore.ieee.org
After emerging in Wuhan, China, in December 2019, the coronavirus 2019 (COVID-2019)
quickly spread throughout the world and sparked a pandemic. Covid-19 The pandemic …

[Retracted] Role of Posttreatment Nursing Based on Functional Magnetic Resonance Imaging in Breast Cancer Patients with Lymphedema

R Sun, H Li, X Wang, J Shen, L Guo… - Contrast Media & …, 2022 - Wiley Online Library
Breast cancer is the tumor disease with the highest incidence in women, especially
lymphedema after treatment, which seriously affects the quality of life of women. In order to …

Classification of Kitchen Utensils in Noisy Condition Using YOLOv5 with Multiple Deep Learning Backbones

H Rosli, R Ali, AM Deris… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Recent advancements in deep learning have greatly improved computer vision tasks,
particularly in classifying kitchen utensils, which are essential for smart kitchen systems …