CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm
This paper presents an enhanced approach to kidney segmentation using a modified CLAHE preprocessing method, aimed at improving image clarity and CNN performance on the KiTS19 dataset.
Abror Shavkatovich Buriboev +3 more
doaj +3 more sources
Angio-fusion net: dual-stream enhanced VGG16 attention U-Net for vessel morphology preservation in XCA segmentation [PDF]
The accumulation of atherosclerotic atheroma in coronary arteries leads to significant cardiac risks. Accurate segmentation of coronary arteries in X-ray coronary angiographic (XCA) images is essential for diagnosing atherosclerotic disease and guiding ...
G. Sunilkumar, P. Kumaresan
doaj +2 more sources
Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging [PDF]
Background: The early and accurate classification of ischemic stroke stages on computed tomography (CT) remains challenging due to subtle attenuation differences and significant scanner variability.
Radwan Qasrawi +5 more
doaj +2 more sources
A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images
With the advances in technology, humans tend to explore the world underwater in a more constructive way than before. The appearance of an underwater object varies depending on depth, biological composition, temperature, ocean currents, and other factors.
Mohammed Al Awadh, Suresh Gulivindala
exaly +2 more sources
Optimization of Historic Buildings Recognition: CNN Model and Supported by Pre-processing Methods
Several cities in Indonesia, such as Cirebon, Bandung, and Bogor, have several historical buildings that date back to the Dutch colonial period. Several Dutch colonial heritage buildings can be found in several areas.
Abdul Haris Rangkuti +4 more
doaj +1 more source
Railroad Track Damage Detection Using CLAHE-KNN (CLAHE K-Nearest Neighbor)
This research is part of the development of the system, which aims to detect damage to railway tracks using the CLAHE-KNN model. This study aims to detect railway damage using the CLAHE-K-NN method and determine the effect of CLAHE on the K-Nearest Neighbor algorithm for railway damage detection. CLAHE is defined by Block Size (BS) and Clip Limit (CL).
Handrie Noprisson, Vina Ayumi
openaire +1 more source
Brain Tumor Identification Based on VGG-16 Architecture and CLAHE Method
Magnetic Resonance Imaging (MRI) in diagnosing brain cancers is widespread. Because of the variety of angles and clarity of anatomy, it is commonly employed. If a brain tumor is malignant or secondary, it is a high risk, leading to death.
Suci Aulia, Dadi Rahmat
doaj +1 more source
Big Cats Classification Based on Body Covering
The reduced habitat owned by an animal has a very bad impact on the survival of the animal, resulting in a continuous decrease in the number of animal populations especially in animals belonging to the big cat family such as tigers, cheetahs, jaguars ...
Fernanda Januar Pratama +2 more
doaj +1 more source
Adaptive Histogram Equalization Based Image Forensics Using Statistics of DC DCT Coefficients
The vulnerability of digital images is growing towards manipulation. This motivated an area of research to deal with digital image forgeries. The certifying origin and content of digital images is an open problem in the multimedia world.
Neetu Singh +2 more
doaj +1 more source
Contrast Enhancement in Gray Level Images [PDF]
Contrast enhancement is a very important step in image processing, pattern recognition and computer vision .Histogram Equalization (HE) is widely used for contrast Enhancement . This paper discussed five techniques of contrast enhancement, i.e. Histogram
Duha Sultan, Alhan Yonis
doaj +1 more source

