Optimal deep learning model for classification of lung cancer on CT images
Lung cancer is one of the dangerous diseases that cause huge cancer death worldwide.
Early detection of lung cancer is the only possible way to improve a patient's chance for …
Early detection of lung cancer is the only possible way to improve a patient's chance for …
A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification
This paper presents a novel framework for breast cancer detection using mammogram
images. The proposed solution aims to output an explainable classification from a …
images. The proposed solution aims to output an explainable classification from a …
Video-based evidence analysis and extraction in digital forensic investigation
J **ao, S Li, Q Xu - IEEE Access, 2019 - ieeexplore.ieee.org
As a result of the popularity of smart mobile devices and the low cost of surveillance
systems, visual data are increasingly being used in digital forensic investigation. Digital …
systems, visual data are increasingly being used in digital forensic investigation. Digital …
Efficient brain tumor segmentation using OTSU and K-means clustering in homomorphic transform
In computer vision, image segmentation technology plays a vital role in computer-aided
diagnostic systems to precisely and accurately identify the area to be treated. Practically, it is …
diagnostic systems to precisely and accurately identify the area to be treated. Practically, it is …
Optimized multimodal medical image fusion framework using multi-scale geometric and multi-resolution geometric analysis
For proper homoeopathic identification of the medical image, image fusion has been
proposed as a mandatory solution to obtain high-spectral and high-spectral spatial data …
proposed as a mandatory solution to obtain high-spectral and high-spectral spatial data …
[PDF][PDF] Efficient algorithm for contrast enhancement of natural images.
This paper proposed an efficient algorithm for contrast enhancement of natural images. The
contrast of images is very important characteristics by which the quality of images can be …
contrast of images is very important characteristics by which the quality of images can be …
Efficient multi-scale non-sub-sampled shearlet fusion system based on modified central force optimization and contrast enhancement
Infrared, visible, and medical image fusion systems are mandatory solutions for obtaining
more spatial and more spectral information in a single image for efficient object detection …
more spatial and more spectral information in a single image for efficient object detection …
Towards a secure signature scheme based on multimodal biometric technology: application for IOT Blockchain network
Blockchain technology has been commonly used in the last years in numerous fields, such
as transactions documenting and monitoring real assets (house, cash) or intangible assets …
as transactions documenting and monitoring real assets (house, cash) or intangible assets …
Fusion of palm-phalanges print with palmprint and dorsal hand vein
To ensure the high performance of a biometric system, various unimodal systems are
combined to evade their constraints to form a multimodal biometric system. Here, a …
combined to evade their constraints to form a multimodal biometric system. Here, a …
[PDF][PDF] An analysis of image enhancement techniques for dental X-ray image interpretation
This paper presents qualitative and quantitative comparison between original images and
four image enhancement techniques namely adaptive histogram equalization (AHE) …
four image enhancement techniques namely adaptive histogram equalization (AHE) …