introduction breast cancer is the second cause of mortality among women. early detection of it can enhance the chance of survival. screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. computer-aided diagnosis can help physicians make a more accurate diagnosis. materials and methods regarding the importance of separating normal and abnorm...

objective(s): bonenavi, a computer-aided diagnostic system, is used in bone scintigraphy. this system provides the artificial neural network (ann) and bone scan index (bsi) values. ann is associated with the possibility of bone metastasis, while bsi is related to the amount of bone metastasis. the degree of uptake on bone scintigraphy can be affected by the type of bone metastasis. therefore, t...

Abstract — Blood cell disorders are often detected in advanced stages as the number of cancer cells is much higher than normal blood cells. As one important aspects diagnosing leukemia and determining its progress identifying malignant This paper illustrates discovery four main types through machine learning algorithms, it was found that Computer-Aided Diagnosis (CAD) has progressed rapidly ove...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...

Leukemia is the rapid production of abnormal white blood cells that consequently affects and damages bone marrow. The overproduction immature leads to damage immune system due reduced red platelets by marrow body. This hematological malignancy generally diagnosed manual methods such as complete count (CBC), aspiration, or microscopic examination smear. Nevertheless, leukemia diagnosis are econo...

this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...