barium tends to be large in comparison with the surrounding elevation. Others can present as multiple discrete polyps similar in appearance to variouspolyposissyndromes. The differential diagnosis of bulls-eye lesions also includescarcinoid, metastaticmelanoma, lung and breast cancers, orKaposi's sarcoma...
AI uses pictures of skin lesions to interpret the diagnosis. Recently, there have been several works performed on skin lesion analysis using machine learning and image-processing techniques. They have been used in many works in the literature for skin lesion attribute identification, segmentation, ...
proposed a computational framework based on stage-based gene regulatory networks to predict disease genes in breast cancer. Seven stage-based modules were obtained and 20, 12 and 22 key genes were identified for each of the three stages [29]. With the advantage of graph structure, the key ...
By removing the granular layer boundary, the authors of [26] were able to identify only two lesions in the histological pictures. Alam et al. [27] presented an SVM to automate the detection of eczema. This was accomplished by segmenting the acquired image, choosing features based on texture-...
is a well-known technology that has recently been used in the development of effective CAD systems for the classification of lesions in mammograms. Numerous researchers have lately developed AI-based solutions for the automated detection and diagnosis of breast anomalies in mammography pictures. These ...