E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer is the most prevalent cancer among women, and many applications have been developed to …
Convolutional neural network (CNN) has shown dissuasive accomplishment on different areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Carcinoma is a primary source of morbidity in women globally, with metastatic disease accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
Breast cancer is one of the most common reasons for the premature death of women worldwide. However, early detection and diagnosis of the same can save many lives …
M Kumar, S Singhal, S Shekhar, B Sharma… - Sustainability, 2022 - mdpi.com
Breast cancer is the most frequently encountered medical hazard for women in their forties, affecting one in every eight women. It is the greatest cause of death worldwide, and early …
R Karthik, R Menaka, MV Siddharth - Biocybernetics and biomedical …, 2022 - Elsevier
Manual delineation of tumours in breast histopathology images is generally time-consuming and laborious. Computer-aided detection systems can assist pathologists by detecting …
K Raghavan - Multimedia Tools and Applications, 2024 - Springer
Explainable artificial intelligence (XAI) can help build trust between AI models and healthcare professionals in the context of medical image classification. XAI can help explain …
E Mahoro, MA Akhloufi - Quantitative InfraRed Thermography …, 2024 - Taylor & Francis
Breast thermography is a screening approach for breast cancer detection by measuring the breast skin temperature. Breast cancer is the most common cancer among women and can …
Breast cancer is the main cause of death among women due to cancer. Early detection is crucial in controlling the disease. Thermography is a non-invasive imaging method that uses …