skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. if they detected at an early stage, treatment can become simple and economically. accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. the aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

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...

Diagnostically challenging lesions comprise both foci (small lesions) and non-mass-like enhancing lesions and pose a challenge to current computer-aided diagnosis systems. Motion-based artifacts lead in dynamic contrast-enhanced breast magnetic resonance to diagnostic misinterpretation; therefore, motion compensation represents an important prerequisite to automatic lesion detection and diagnos...

Diagnostically challenging lesions comprise both foci (small lesions) and non-mass-like enhancing lesions and pose a challenge to current computer-aided diagnosis systems. Motion-based artifacts lead in dynamic contrast-enhanced breast magnetic resonance to diagnostic misinterpretation; therefore, motion compensation represents an important prerequisite to automatic lesion detection and diagnos...

Despite much progress made in recent years, computer is still incapable of reliably and accurately recognising images of most real world problems, including images of skin diseases. In this paper, we have developed an interactive skin lesion recognition system based on a human in the loop visual recognition technology, where computer vision algorithms and models of human responses to a series o...