Prostate MRI scans for pre-biopsied patients are important. However, fewer radiologists available diagnoses, which requires multi-sequential interpretations of multi-slice images. To reduce such a burden, artificial intelligence (AI)-based, computer-aided diagnosis is expected to be critical technology. We present an AI-based method pinpointing prostate cancer location and determining tumor mor...

S.Sivasankari, K.Narasimhan, S.Ramya School of Electrical and Electronics Engineering SASTRA university, Thanjavur, Tamilnadu, India [email protected] [email protected] [email protected] Abstract— Retinal Image analysis plays the important role in identifying retinal diseases and acts as aid for ophthalmologist. One of the retinal pathology which mainly affects the elder persons is Ag...

With the increasing research on better algorithms for segmentation of image, it is important to categories the already known technique, their conceptual basis and their overview. This paper presents a systematic survey of the algorithms used in automated cancer diagnosis based on histopathology. The various computational processes involved like preprocessing, feature-extraction, post-processing...

This paper presents a computer aided diagnosis system for skin lesions. Diverse parameters or features extracted from fluorescence images are evaluated for cancer diagnosis. The selection of parameters has a significant effect on the cost and accuracy of an automated classifier. The genetic algorithm (GA) performs parameters selection using the classifier of the K-nearest neighbours (KNN). We e...

Breast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis at the step of mammogr...