Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …

Background and objective: The manual segmentation, identification, and classification of
brain tumor using magnetic resonance (MR) images are essential for making a correct …

Deaths due to cancer have increased rapidly in recent years. Among all the cancer
diseases, breast cancer causes many deaths in women. A digital medical photography …

There is considerable variation in the size, shape and location of tumours, which makes it
challenging for radiologists to diagnose breast cancer. Automated diagnosis of breast …

Purpose Breast cancer remains a serious public health problem that results in the loss of
lives among women. However, early detection of its signs increases treatment options and …

The very dense breast of mammogram image makes the Radiologists often have difficulties
in interpreting the mammography objectively and accurately. One of the key success factors …

Diagnosing benign and malignant glands in thyroid ultrasound images is considered a
challenging issue. Recently, deep learning techniques have significantly resulted in …

Humans have the capability of recognizing objects at a glance and tell its category or the
name despite of the variation in illumination pose, appearance, deformation and texture. But …

With the increasing ability of the computer aided detection and diagnosis system, the
exploration on the tumors have attained a breakthrough by decreasing the mortality rate …

In this paper, an optimized bilevel brain tumor diagnostic system for identifying the tumor
type at the first level and grade of the identified tumor at the second level is proposed using …