Cancer disease prediction is a critical task in healthcare that can significantly impact patient
outcomes. This abstract presents a multimodal deep neural network (DNN) approach for …

Deep learning (DL) is a type of machine learning capable of processing large quantities of
data to provide analytic results based on a particular framework's parameters and aims. DL …

Deep learning (DL) algorithms are crucial for predicting various diseases because they can
analyze a large amount of healthcare data within a short prediction time. One of these …

Deep learning (DL) algorithms are crucial for predicting various diseases because they can
analyze a large amount of healthcare data within a short prediction time. One of these …

Cancer is the one of the most leading cause of deaths among people The lifetime chance of
acquiring this malignancy is one in eight for females. The prognosis for this condition greatly …

Cancer is a leading cause of death world wide, accounting for an estimated 10 million
deaths in 2020 alone. Early detection and accurate diagnosis are essential for improving …

Women are prone to breast cancer, which is a major cause of death. One out of every eight
women has a lifetime risk of developing this cancer. Early diagnosis of this disease is critical …

Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate
prognosis prediction of breast cancer can spare a significant number of patients from …

We know today that numerous factors play a significant role as causes of cancer. Because of
this, a doctor's opinion alone cannot be used to classify cancer. Intelligent algorithms …

Robust cancer prognostication can enable more effective patient care and management,
which may potentially improve health outcomes. Deep learning has proven to be a powerful …