Background: In medical image analysis, the diagnosis of skin lesions remains a challenging task. Skin lesion is common type cancer that exists worldwide. Dermoscopy one latest technologies used for cancer. Challenges: Many computerized methods have been introduced in literature to classify cancers. However, challenges remain such as imbalanced datasets, low contrast lesions, and extraction irre...

Introduction: Multiparametric MRI of different aspects of cerebral ischemic lesions may improve diagnosis of patients with cerebrovascular injury [1]. Nevertheless, spatial and temporal variations in the extent of various pathophysiological processes, complicates straightforward characterization of brain tissue status. In recent years, unsupervised algorithms have been developed to voxel-wise c...

Background Recent studies have examined radiographic factors associated with healing of osteochondritis dissecans (OCD) lesions of the knee. However, there is still no gold standard in determining the healing status of an OCD lesion. Purpose We examined temporally associated patterns of healing to (1) evaluate the practicality of a classification system and (2) elucidate any associations betw...

Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy images significantly increases the survival rate. However, the accurate recognition of melanoma is extremely challenging due to the following reasons: low contrast between lesions and skin, visual similarity between melanoma and non-melanoma lesions, etc. Hence, reliable automatic detection of skin tumors is v...

BACKGROUND AND PURPOSE Inference of etiology from lesion pattern in acute magnetic resonance imaging is valuable for management and prognosis of acute stroke patients. This study aims to assess the value of three-dimensional geometrical lesion-shape descriptors for stroke-subtype classification, specifically regarding stroke of cardioembolic origin. METHODS Stroke Etiology was classified acco...

We discuss the use of a noninvasive in vivo optical technique, diffuse reflectance spectroscopic imaging with oblique incidence, to distinguish between benign and cancer-prone skin lesions. Various image features were examined to classify the images from lesions into benign and cancerous categories. Two groups of lesions were processed separately: Group 1 includes keratoses, warts versus carcin...

Melanoma is a malignant tumour originating from melanocytes cells skin cells responsible for the production of melanin. The American Cancer Society estimates that in the United States alone for 2017, more than 87,000 new melanoma cases will be diagnosed and around 9,300 persons are expected to die[1]. Skin melanoma lesions are very challenging to visually diagnose due to their similarity in vis...

PURPOSE To prospectively investigate whether a rapid dynamic MRI protocol, in conjunction with pharmacokinetic modeling, could provide diagnostically useful information for discriminating biopsy-proven benign lesions from malignancies. MATERIALS AND METHODS Patients referred to breast biopsy based on suspicious screening findings were eligible. After anatomic imaging, patients were scanned us...

This manuscript introduces an automated Computer-Aided Classification (CAD) system to classify liver lesions into Benign or Malignant. The system consists of three stages; firstly, automatic liver segmentation and lesion detection. Secondly, extracting features from multiple ROIs, which is the novelty. Finally, classifying liver lesions into benign and malignant. The proposed system divides a s...