Recent statistics show that breast cancer is a major cause of death among women in developed countries. Hence, finding an accurate and effective diagnostic method is very important. In this paper, we propose a high precision computer-aided diagnosis (CAD) system for sonography. We utilize a support vector machine (SVM) to classify breast tumors according to their texture information surrounding...

We present a framework for computer aided detection and diagnosis based on segmented tissue mixtures in each voxel of the image. Detection is based on both the geometry and texture. Diagnosis is based on both the texture and feature extracted from the mixture segmentation.

We present a novel pipeline for computer-aided detection (CAD) of colonic polyps by integrating texture analysis with volume rendering and conformal colon flattening. Using our method, the 3D polyp automatic detection problem is converted into a 2D image analysis problem. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D rectang...

objective(s): bonenavi, a computer-aided diagnostic system, is used in bone scintigraphy. this system provides the artificial neural network (ann) and bone scan index (bsi) values. ann is associated with the possibility of bone metastasis, while bsi is related to the amount of bone metastasis. the degree of uptake on bone scintigraphy can be affected by the type of bone metastasis. therefore, t...

Breast cancer is one of the most common cancers among women of the developing countries in the world, and it has also become a major cause of death [1, 2]. Treatment of breast cancer is effective only if it is detected at an early stage. Xray Mammography is the most effective technique used by radiologists in the screening and diagnosis of breast cancer in women but the mammographic images are ...

this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...

Computer aided diagnosis systems for detecting malignant texture in biological study have been investigated using several techniques. This paper presents an approach in computer-aided diagnosis for early prediction of brain cancer using Texture features and neuro classification logic. The Tumor mass detection and Cluster micro classification is used as the processing method for cancer predictio...