[HTML][HTML] Multi-modal brain tumor detection using deep neural network and multiclass SVM

S Maqsood, R Damaševičius, R Maskeliūnas - Medicina, 2022 - mdpi.com
Background and Objectives: Clinical diagnosis has become very significant in today's health
system. The most serious disease and the leading cause of mortality globally is brain cancer …

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …

TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages

S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

An efficient approach for the detection of brain tumor using fuzzy logic and U-NET CNN classification

S Maqsood, R Damasevicius, FM Shah - … 16, 2021, Proceedings, Part V 21, 2021 - Springer
Clinical diagnosis has increased marvelous significance in current day healthcare systems.
This article proposes a brain tumor detection method using edge detection based fuzzy logic …

Multi-focus image fusion based on multi-scale gradients and image matting

J Chen, X Li, L Luo, J Ma - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Multi-focus image fusion technology is to extract different focused regions of the same scene
among partially focused images and merge them together to generate a composite image …

Efficient breast cancer diagnosis from complex mammographic images using deep convolutional neural network

H Rahman, TF Naik Bukht, R Ahmad… - Computational …, 2023 - Wiley Online Library
Medical image analysis places a significant focus on breast cancer, which poses a
significant threat to women's health and contributes to many fatalities. An early and precise …

[HTML][HTML] CSID: A novel multimodal image fusion algorithm for enhanced clinical diagnosis

SR Muzammil, S Maqsood, S Haider, R Damaševičius - Diagnostics, 2020 - mdpi.com
Technology-assisted clinical diagnosis has gained tremendous importance in modern day
healthcare systems. To this end, multimodal medical image fusion has gained great …

Detection of macula and recognition of aged-related macular degeneration in retinal fundus images

S Maqsood, R Damaševičius, FM Shah… - Computing and …, 2021 - cai.sk
In aged people, the central vision is affected by Age-Related Macular Degeneration (AMD).
From the digital retinal fundus images, AMD can be recognized because of the existence of …

Monkeypox detection and classification using deep learning based features selection and fusion approach

S Maqsood, R Damaševičius - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In today's healthcare system, clinical diagnosis has taken on a crucial role. As the COVID-19
virus's global infection declines, the monkeypox virus is steadily develo**. Because of this …

Multiscale gradient maps augmented fisher information-based image edge detection

VBS Prasath, DNH Thanh, NQ Hung - IEEE Access, 2020 - ieeexplore.ieee.org
Image edge detection is an important task in image processing and pattern recognition.
Edges in digital images signify image discontinuities and traditionally gradient information is …