Breast diseases are a group of diseases that appear in different forms. An entire group of
these diseases is breast cancer. This disease is one of the most important and common …

This paper proposes Combining the Advantages of Radiomic features based Feature
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …

In medical image examination, image segmentation is the broadly used method. Currently,
the efficient segmentation of mammogram images is the main challenge. Many methods …

The breast cancer diagnosis is one of the challenging tasks of medical field. Especially, the
breast cancer diagnosis among younger women (under 40 years old) is more complicated …

In this manuscript, a Wrapper based feature extraction framework based on AlexNet deep
convolutional neural network (ADCNN) with gradient‐based optimizer (GBO) is proposed for …

In the present days of big data analytics, the magnitude of data generated is escalating at an
exponential rate and requires high‐end machines with many‐core CPUs (GPUs) to handle …

In this chapter, we will discuss various opportunities and challenges and suggest a few
intelligent architectures for better Diseases Pattern Predictions including Cancer Pattern …

Breast diseases are a group of diseases that appear in different forms. An entire group of
these diseases is breast cancer. is disease is one of the most important and common …

Gene is not responsible for many Human Diseases and instead, diseases occur by different
or group of genomes interacting together and cause diseases. Hence it is need to analyse …