One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …

In this paper, a meta-heuristic-based optimization technique is used for predicting cancer in
the lungs. Lung cancer is one of the dreadful diseases that occurred in human beings and …

Lung and colon cancers are among the leading causes of cancer-related mortality
worldwide. Early and accurate detection of these cancers is crucial for effective treatment …

In the present scenario of people's health, lung tumour is the major reason of cancer-related
losses, and its death rates are steadily rising. Several researchers have developed …

One of the most stimulating tasks is speech emotion recognition. In our work, to make use of
sound files as input for machine learning algorithm (SVM) and deep learning algorithm …

In this work, a dataset of chest posteroanterior X-ray images has been used to categorise the
images into three classes Covid-19, Normal and Pneumonic conditions. This paper …

Deep learning, a subfield of artificial intelligence, has shown exponential growth in health
care applications. With the improvement of computational power and advances in big data …

Breast cancer is one of the most common cancers in the world, and is a very dangerous
cancer among all cancers which mainly affect the woman, and hence leads many …

The integration of classical machine learning with quantum computing has sparked a
remarkable revolution, opening avenues to tackle previously insurmountable challenges in …

Cancer is a disease that comes in many forms and is the largest cause of death worldwide
for men and women alike. Early detection of cancer has the highest chance of saving a …