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...

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...

introduction: the aim of this study was to identify the reasons for failure in clinical, radiographic, and histopathologic diagnoses as well as their interactions with each other. methods: personal information and lesion characteristics of 51 patients with central or peripheral exophytic lesions were collected in mashhad dental school. specialists determined clinical and radiographic diagnoses ...

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...

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...

Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...

background: the clinical and pathological evaluation of oral lesions are very important in this field. the purpose of this study was to assess clinico- pathological agreement on 232 cases with oral lesion s.methods: the consecutive files of 232 patients with oral lesions from pathological laboratory archives of babol dental faculty and shahid beheshti hospital were reviewed and the data include...