Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …

Abstract Machine Learning (ML) provides methods, techniques, and tools that can help
solving diagnostic and prognostic problems in a variety of medical domains. ML is being …

Texture analysis is a very important area in the field of computer vision and related fields.
There are a good number of databases developed by different research groups for various …

The objective of the work is to predict heart disease using computing techniques like an
oppositional firefly with BAT and rule-based fuzzy logic (RBFL). The system would help the …

Today 95% of all gastrointestinal carcinomas are believed to arise from adenomas. The
early detection of adenomas could prevent their evolution to cancer. A novel system for the …

Disease forecasting using soft computing techniques is major area of research in data
mining in recent years. To classify heart and diabetes diseases, this paper proposes a …

In this paper, we present CoLD (colorectal lesions detector) an innovative detection system
to support colorectal cancer diagnosis and detection of pre-cancerous polyps, by processing …

Heart disease prediction and identification is a difficult task which needs much experience
and knowledge. In order to predict the heart disease, we introduce a technique named as …

A new texture feature based seeded region growing algorithm is proposed for the automated
segmentation of organs in Abdominal MR image. Co-occurrence texture feature and semi …

The research presented in this article is aimed at develo** an automated imaging system
for classification of tissues in medical images. The article focuses on using texture analysis …