Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset

Autor: Elmanna, Mohamed, Elsafty, Ahmed, Ahmed, Yomna, Rushdi, Muhammad, Morsy, Ahmed

Digital pathology has recently been revolutionized by advancements in artificial intelligence, deep learning, and high-performance computing. With its advanced tools, digital pathology can help improve and speed up the diagnostic process, reduce huma

Externí odkaz: http://arxiv.org/abs/2403.18468

Correlation-Based Feature Selection for Association Rule Mining in Semantic Annotation of Mammographic Medical Images.

Autor: Abubacker, Nirase Fathima, Azman, Azreen, Doraisamy, Shyamala, Azmi Murad, Masrah Azrifah, Elmanna, Mohamed Eltahir Makki, Saravanan, Rekha

Publikováno v: Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings; 2014, p482-493, 12p