Skin lesion can be deadliest if not detected early. Early detection of skin save many lives. Artificial Intelligence and Machine learning is helping healthcare in ways so the diagnosis lesion. Computer aided help clinicians detecting cancer. The study was conducted to classify seven classes using very powerful convolutional neural networks. two pre trained models i.e DenseNet Incepton-v3 were e...

Breast cancer is one of the leading causes deaths in women. As primary output breast screening, ultrasound (US) video contains exclusive dynamic information for diagnosis. However, training models analysis non-trivial as it requires a voluminous dataset which also expensive to annotate. Furthermore, diagnosis lesion faces unique challenges such inter-class similarity and intra-class variation. ...

The calcifying cystic odontogenic tumor (CCOT) is a rare cystic odontogenic neoplasm frequently found in association with odontome. This report documents a case of CCOT associated with an odontome arising in the anterior maxilla in a 28-year-old man. Conventional radiographs showed internal calcification within the lesion but were unable to visualize its relation with the adjacent structures an...

Lesion detection is a fundamental problem in the computer-aided diagnosis scheme for mammography. The advance of deep learning techniques have made remarkable progress this task, provided that training data are large and sufficiently diverse terms image style quality. In particular, diversity may be majorly attributed to vendor factor. However, collection mammograms from vendors as many possibl...

Skin lesions affect millions of people worldwide. They can be easily recognized based on their typically abnormal texture and color but are difficult to diagnose due similar symptoms among certain types lesions. The motivation for this study is collate analyze machine learning (ML) applications in skin lesion research, with the goal encouraging development automated systems disease diagnosis. T...

This paper proposes a new approach for computer-aided diagnosis (CAD) system with automatic contouring and texture analysis to aid in the classification of breast lesions using ultrasound. First, the goal is to remove the speckle noise while preserving important information from the lesion boundaries, anisotropic diffusion filtering is applied to the ultrasonic image. A morphological watershed ...

Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is further exacerbated when dealing with a large amount of image data. In this paper, we extended our previous work by developing a deeper network arc...

Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used segmentation method. To make the segmentation completely automatic, most of the region growing methods incorporate automatic selection of the seed points. This paper proposes a new automat...

INTRODUCTION To present a case of a child with a desmoplastic fibroma of the vidian canal, compressing the vidian nerve. CASE REPORT A 12-year-old girl with several years' history of right-sided facial pain was referred to our institution. Magnetic resonance imaging and computed tomography scans showed an expansile mass involving the right vidian canal. The patient underwent a complete endosc...