IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
IEEE

Breast Cancer Diagnosis using Machine Learning: Challenges and Opportunities

Abstract: The purpose of this paper is to review breast cancer diagnosis methods. Cancer begins in cells, the basic building units of tissue. Sometimes the cell growth process fails, and new cells ...
Frontiers

Development and validation of an interpretable machine learning model for predicting progression-free survival after immunotherapy in patients with non-small cell lung cancer ...

Background: This study aimed to develop and validate an interpretable machine learning model that harnesses circulating tumor DNA (ctDNA) to predict progression-free survival (PFS) in patients with ...
Frontiers

Augmenting sparse spaceflight mass spectra datasets for machine learning applications

Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...