Neural network model based on global and local features for multi-view mammogram classification

L Xia, J An, C Ma, H Hou, Y Hou, L Cui, X Jiang, W Li… - Neurocomputing, 2023 - Elsevier
Mammography is an important screening criterion for breast cancer, one of the major
diseases causing numerous deaths among female patients. Meanwhile, manual diagnosis …

Breast cancer detection in mammogram images using K–means++ clustering based on cuckoo search optimization

K Wisaeng - Diagnostics, 2022 - mdpi.com
Traditional breast cancer detection algorithms require manual extraction of features from
mammogram images and professional medical knowledge. Still, the quality of mammogram …

[PDF][PDF] Breast Tumor Detection Via Active Contour Technique.

EA Radhi, MY Kamil - … Journal of Intelligent Engineering & Systems, 2021 - researchgate.net
The task of segmenting breast tumours in mammograms is very difficult, as its difficulty lies in
the lack of contrast between the tumour and the surrounding breast tissue, especially when …

Denoising performance evaluation of automated age-related macular degeneration detection on optical coherence tomography images

CH Lin, WM Liao, JW Liang, PH Chen… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Automated detection of eye diseases using artificial intelligence techniques on optical
coherence tomography (OCT) images is widely researched in the field of ophthalmology …

A simple method for obtaining artificial 3D forms of 2D mammograms in diagnosis of breast cancer

G Toz - The Imaging Science Journal, 2024 - Taylor & Francis
Breast cancer is one of the most common types of cancer among women worldwide and
mammography is the primary method which plays a major role in early diagnosis of breast …

Mammogram Breast Cancer Classification Based on Deep-Convolutional Neural Network

AA Amadea, CA Sari, EH Rachmawanto… - … on Application for …, 2023 - ieeexplore.ieee.org
Based on WHO's data, breast cancer is one of the most deadly diseases that has claimed
many victims, especially women. This disease begins with the presence of an undetected …

Automatic Identification of Fetal Biometry Planes from Ultrasound Images: An Assistive Tool for Healthcare Professionals

TB Krishna, P Kokil - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Ultrasound (US) imaging is often employed for monitoring fetal development throughout
pregnancy. However, the manual detection of fetal anatomy presents several challenges to …

Pulse coupled neural network optimized with chaotic grey wolf algorithm for breast cancer classification using mammogram images

KS Thanupillai, R Kamal Basha - … and Computation: Practice …, 2023 - Wiley Online Library
Breast cancer is a very hazardous disease that mainly affects women and leads to a high
mortality rate. Early detection of this disease only can reduce the mortality rate. Previously …

A study on intelligent tourism app based on artificial intelligence

J Xue - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
With the rapid development of science and technology and the rapid development of
network applications, the Internet era has been promoted, and the popularity of smart …

Novel Robust Automatic Brain-Tumor Detection and Segmentation Using Magnetic Resonance Imaging

M Xu, L Guo, HC Wu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Computer-aided automatic brain-tumor detection has been a very important biomedical
engineering research problem for years. As the sizes and shapes of tumors vary …