Medical image data augmentation: techniques, comparisons and interpretations
E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
A yolo-based model for breast cancer detection in mammograms
This work aims to implement an automated data-driven model for breast cancer detection in
mammograms to support physicians' decision process within a breast cancer screening or …
mammograms to support physicians' decision process within a breast cancer screening or …
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Breast cancer exhibits one of the highest incidence and mortality rates among all cancers
affecting women. The early detection of breast cancer reduces mortality and is crucial for …
affecting women. The early detection of breast cancer reduces mortality and is crucial for …
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Traditional methods of diagnosing breast cancer (BC) suffer from human errors, are less
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
A hybrid workflow of residual convolutional transformer encoder for breast cancer classification using digital X-ray mammograms
Breast cancer, which attacks the glandular epithelium of the breast, is the second most
common kind of cancer in women after lung cancer, and it affects a significant number of …
common kind of cancer in women after lung cancer, and it affects a significant number of …
Recent advancements and future prospects in active deep learning for medical image segmentation and classification
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
Enhancing prognosis accuracy for ischemic cardiovascular disease using K nearest neighbor algorithm: a robust approach
G Muhammad, S Naveed, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …
the mortality rate can be significantly reduced if we can detect the disease precisely and …
ETECADx: Ensemble self-attention transformer encoder for breast cancer diagnosis using full-field digital X-ray breast images
Early detection of breast cancer is an essential procedure to reduce the mortality rate among
women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called …
women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called …
Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
Z Lv, C Cheng, H Lv - Philosophical Transactions of the …, 2023 - royalsocietypublishing.org
The current study aims to improve the efficiency of automatic identification of pavement
distress and improve the status quo of difficult identification and detection of pavement …
distress and improve the status quo of difficult identification and detection of pavement …
[HTML][HTML] The Genomic and Biologic Landscapes of Breast Cancer and Racial Differences
SPL Galappaththi, KR Smith, ES Alsatari… - International Journal of …, 2024 - mdpi.com
Breast cancer is a significant health challenge worldwide and is the most frequently
diagnosed cancer among women globally. This review provides a comprehensive overview …
diagnosed cancer among women globally. This review provides a comprehensive overview …