As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …

Content-based image medical retrieval (CBMIR) is a technique for retrieving medical images
on the basis of automatically derived image features such as colour, texture and shape …

Purpose Hundreds of thousands of deaths each year in the world are caused by breast
cancer (BC). An early-stage diagnosis of this disease can positively reduce the morbidity …

Content-based image retrieval (CBIR) is a recent method used to retrieve different types of
images from repositories. The traditional content-based medical image retrieval (CBMIR) …

Content-Based Image Retrieval (CBIR) systems retrieve images from the image repository or
database in which they are visually similar to the query image. CBIR plays an important role …

Recently, pre-trained convolutional neural network CNNs have been widely used and
applied for medical image classification. These models can utilised in three different ways …

The late discovery of breast cancer is the main reason for the low survival rate, so its early
detection can lessen the risk and prevent progression, thus reducing mortality rates …

Aim: The goal of this work is to use Logistic Model Tree (LMT) and Random Forest (RF)
classifiers to differentiate between benign and malignant tumours. Materials and …