This paper aims to explore the proposed solution of using deep learning model in genomic
data associated in exploring cancer biomarkers. Our proposed solution is the saliency map …

This paper aims to explore the problems associated in solving the classification of cancer in
gene expression data using deep learning model. Our proposed solution for the cancer …

Cancer is a Disease that shows gathering of infections leading to unusual cell development,
which might can attack or spread to different pieces of body of a human. This sort of sickness …

The World Cancer Report described cancer as a global problem because it affects the whole
greater population. It was projected by that cancer incidence will increase to 20 million new …

Further most oncologist varies in their conclusions around the determination utilizing
histopathological-pictures, so the manual diagnosis of brain tumour is troublesome, and it …

In recent years, we have witnessed the fast growth of deep learning, which involves deep
neural networks, and the development of the computing capability of computer devices …

Extraction from large no. of features (genes signatures) are the major issues in the prediction
of cancer and its specific type identification using microarray datasets. Even though most …

Deep learning for medical diagnosis using genomics is extremely challenging given the
high dimensionality of the data and lack of sufficient patient samples. Another challenge is …

Cancer is threatening millions of people each year and its early diagnosis is still a
challenging task. Early diagnosis is one of the major ways to tackle the disease and lower …

Lung cancer is one of the leading causes of cancer-related deaths worldwide. The
importance of early detection and treatment in enhancing patient outcomes cannot be …