A novel multimodality anatomical image fusion method based on contrast and structure extraction

A Sufyan, M Imran, SA Shah… - … Journal of Imaging …, 2022 - Wiley Online Library
Image modalities, such as computed tomography (CT), magnetic resonance imaging (MRI),
single‐photon emission computed tomography (SPECT), and so on, reflect various levels of …

Ensembled liver cancer detection and classification using CT images

A Krishan, D Mittal - … , Part H: Journal of Engineering in …, 2021 - journals.sagepub.com
Computed tomography (CT) images are commonly used to diagnose liver disease. It is
sometimes very difficult to comment on the type, category and level of the tumor, even for …

[PDF][PDF] Wavelet applications in medical images: A review

AM Abdulazeez, DQ Zeebaree, DM Abdulqader - Transform. DWT, 2020 - researchgate.net
This paper is review of wavelet applications in medical images. The main task of image
processing is image demising wavelet transforms are used to apply medical images to …

A novel machine learning approach on texture analysis for automatic breast microcalcification diagnosis classification of mammogram images

ZM Sarvestani, J Jamali, M Taghizadeh… - Journal of Cancer …, 2023 - Springer
Purpose Screening programs use mammography as a diagnostic tool for the early detection
of breast cancer. Mammogram enhancement is used to increase the local contrast of the …

Contrast enhancement of medical images through adaptive genetic algorithm (AGA) over genetic algorithm (GA) and particle swarm optimization (PSO)

S Muniyappan, P Rajendran - Multimedia Tools and Applications, 2019 - Springer
Assessment of images after processing is a significant step for determining how good the
images are being analyzed. Quality of image is usually estimated with the help of image …

Multi-class liver cancer diseases classification using CT images

A Krishan, D Mittal - The Computer Journal, 2023 - academic.oup.com
Liver cancer is the fourth common cancer in the world and the third leading reason of cancer
mortality. The conventional methods for detecting liver cancer are blood tests, biopsy and …

Gastrointestinal image classification based on VGG16 and transfer learning

B Amina, B Nadjia, B Azeddine - … International Conference on …, 2021 - ieeexplore.ieee.org
Investigational procedures and medical diagnosis can be greatly improved by opting for
detecting automatically abnormalities and anatomical landmarks in medical images …

Optimal Fuzzy Intensification System for Contrast Distorted Medical Images

B Subramani, M Veluchamy… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Contrast enhancement plays a significant role in medical imaging technology for clinical
diagnosis and observing the patient's health conditions. However, medical images may …

[PDF][PDF] A non-uniform quantization scheme for visualization of CT images

A Mehmood, IR Khan, H Dawood, H Dawood - Math. Biosci. Eng, 2021 - aimspress.com
Medical science heavily depends on image acquisition and post-processing for accurate
diagnosis and treatment planning. The introduction of noise degrades the visual quality of …

An opposition-based firefly algorithm for medical image contrast enhancement

A Draa, Z Benayad, FZ Djenna - International Journal of …, 2015 - inderscienceonline.com
Image enhancement is a crucial pre-processing step in almost every medical imaging
system. Different types of degradation can occur in medical images such as noise, blur and …