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[HTML][HTML] Multi-modal brain tumor detection using deep neural network and multiclass SVM
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Technology-assisted clinical diagnosis has gained tremendous importance in modern day
healthcare systems. To this end, multimodal medical image fusion has gained great …
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
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 …
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 …
virus's global infection declines, the monkeypox virus is steadily develo**. Because of this …
Multiscale gradient maps augmented fisher information-based image edge detection
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 …
Edges in digital images signify image discontinuities and traditionally gradient information is …