An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions

V Venugopal, J Joseph, MV Das, MK Nath - Computer Methods and …, 2022 - Elsevier
Background and objective: During the initial stages, skin lesions may not have sufficient
intensity difference or contrast from the background region on dermatological macro-images …

[HTML][HTML] Machine learning and transfer learning techniques for accurate brain tumor classification

SM Malakouti, MB Menhaj, AA Suratgar - Clinical eHealth, 2024 - Elsevier
Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks
if not treated early. Despite numerous advancements, accurate segmentation and …

Automated tool support for glaucoma identification with explainability using fundus images

T Shyamalee, D Meedeniya, G Lim… - IEEE Access, 2024 - ieeexplore.ieee.org
Glaucoma is a progressive eye condition that causes irreversible vision loss due to damage
to the optic nerve. Recent developments in deep learning and the accessibility of computing …

[HTML][HTML] A systematic approach for enhancement of homogeneous background images using structural information

D Vijayalakshmi, MK Nath - Graphical Models, 2023 - Elsevier
Image enhancement is an indispensable pre-processing step for several image processing
applications. Mainly, histogram equalization is one of the widespread techniques used by …

Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China

L Gao, Y Wu, T Yang, X Zhang, Z Zeng, CKD Chan… - Buildings, 2023 - mdpi.com
The study of the architectural heritage of the Chinese diaspora has an important role and
significance in China's historical and cultural background in the preservation of cultural data …

A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique

C Selvam, RJJ Jebadass, D Sundaram… - Information Fusion, 2024 - Elsevier
Fuzzy logic systems play a significant role in various fields including image processing.
Addressing the challenge of enhancing low-illumination images, which often contain a high …

Three filters for the enhancement of the images acquired from fluorescence microscope and weak-light-sources and the image compression

M Jia, J Xu, R Yang, Z Li, L Zhang, Y Wu - Heliyon, 2023 - cell.com
Fluorescence images enhancement is important as it can provide more information for
medical diagnosis. In this work, we design three simple yet useful filters based on the …

Segmentation and detection of skin cancer using deep learning-enabled artificial Namib beetle optimization

NR Rao, D Vasumathi - Biomedical Signal Processing and Control, 2024 - Elsevier
Skin cancer is one of the deadly diseases and with the advancement of technology; it is
possible to identify skin cancer effectively. Although, segmenting skin cancer at the …

TSSFN: Transformer-based self-supervised fusion network for low-quality fundus image enhancement

Y Gao, W Zhang, H He, L Cao, Y Zhang… - … Signal Processing and …, 2024 - Elsevier
Fundus images are used to assist the diagnoses of ocular diseases, and a high-quality
fundus image with more details makes clinical diagnostic results more reliable. However, the …

Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins

L Xue, W Zhang, L Lu, Y Chen… - International Journal of …, 2024 - Wiley Online Library
Automatic segmentation of the fundus retinal vessels and accurate classification of the
arterial and venous vessels play an important role in clinical diagnosis. This article proposes …