Examining and predicting skin cancer from lesion images is challenging due to the complexity of images. Early detection treatment disease can prevent mortality as it be curable. Computer-aided diagnosis (CAD) provides a second opinion for dermatologists they classify type with high accuracy their ability show various clinical identification features locally globally. Convolutional neural networ...

A computer-aided diagnosis (CAD) system that characterizes nodules in medical images can help radiologists determine its malignancy. Preparing large volumes of labeled data for CAD systems, however, requires advanced knowledge. This makes it extremely difficult to develop such despite their growing demand. In this paper, we propose a new training method build an image classifier characterizatio...

Cutaneous melanocytic lesions, commonly known as moles, are mostly benign; however, some of them are malignant melanomas, the most fatal form of skin cancer. Because the survival rate of melanoma is inversely proportional to the thickness of the tumor, early detection is vital to the treatment process. Many dermatologists have advocated the development of computer-aided diagnosis systems for ea...

Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to T1w DCE-MRI findings in the breast and prior research showed that measuring the T2w intensity of a lesion relative to a tissue of reference improv...

Oral cancer is the most common cancer found in both men and women. Early Detection of Oral Cancer is important in saving life. Dental Radiographs assists experts in identifying cancers grown inside the mouth. To help radiologists, Computer Aided Detection and Computer Aided Diagnosis algorithms are developed. The algorithms help to identify cancers by reducing the need for Biopsy. This paper gi...

<span>The paper presents an intelligent system to enhance mass lesions in digitized mammogram images. This can assist radiologists detecting images as early diagnosis of breast cancer. In this paper, the detection lesion is visually detected by enhancing using hybrid neuro-fuzzy technique. Fuzzified engine proposed a first step convert all pixels image fuzzy value three linguistic labels....

aided diagnosis (CAD) for colonoscopy is gaining increasing attention. CADallows automated detection and classification (i. e. pathological prediction) of colorectal polyps during realtime endoscopy, potentially helping endoscopists to avoid missing and mischaracterizing polyps. Although the evidence has not caught up with technological progress, CADhas the potential to improve the quality of c...