Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma
MA Mohammed, MK Abd Ghani, RI Hamed… - Journal of computational …, 2017 - Elsevier
Nasopharyngeal Carcinoma (NPC) diagnostic is a challenging issue that have not been
optimally solved. NPC has a complex structure which makes it difficult to diagnose even by …
optimally solved. NPC has a complex structure which makes it difficult to diagnose even by …
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms
Background and objective Early detection is the important key to reduce breast cancer
mortality rate. Detecting the mammographic abnormality as a subtle sign of breast cancer is …
mortality rate. Detecting the mammographic abnormality as a subtle sign of breast cancer is …
Breast tumor detection in MR images based on density
N Shrivastava, J Bharti - International Journal of Image and …, 2022 - World Scientific
Breast cancer is dangerous in women. It is generally found after the symptoms appear.
Detecting the breast cancer at an early stage and understanding the treatment are the most …
Detecting the breast cancer at an early stage and understanding the treatment are the most …
[PDF][PDF] Artificial neural networks for automatic segmentation
MA Mohammed, MK Abd - International Conference on, 2006 - academia.edu
Nasopharyngeal Carcinoma (NPC) diagnostic is a challenging issue that have not been
optimally solved. NPC has a complex structure which makes it difficult to diagnose even by …
optimally solved. NPC has a complex structure which makes it difficult to diagnose even by …