Goal: Deep learning techniques have made significant progress in medical image analysis.
However, obtaining ground truth labels for unlabeled medical images is challenging as they …

Abstract Breast Cancer Disease is identified as one of the prime causes of death in women
around the globe standing next to lung cancer. Breast cancer represents the development of …

Breast cancer (BC) is a critical public health concern, and the development of accurate
prediction models is crucial for early detection. However, predicting BC using imbalanced …

Text mining research has grown in importance in recent years due to the tremendous
increase in the volume of unstructured textual data. This has resulted in immense potential …

Breast cancer is the most prevalent cancer diagnosed and the basis of mortality among
women worldwide. However, the early prognosis and treatment can avoid the death rate of …

Artificial Immune Recognition System is a widely used bio-inspired algorithm that describes
the recognition tasks of antigen by memory cells. Despite the success of the Artificial …

Breast cancer is the second most responsible for all cancer types and has been the cause of
numerous deaths over the years, especially among women. Any improvisation of the …

We introduce a novel method for learning geometric features of hand-drawn sketches. The
method is based on two models: the first depends on a newly-designed algorithm based on …

This Research presents text classification for tweet emotion intensity using Backpropagation
Neural Network (BPNN) method. In this study, Twitter data is used for the research, where …

Breast cancer (BC) is a critical public health concern, and the development of accurate
prediction models is crucial for early detection. However, predicting BC using imbalanced …