… of new cancer cases in the world to be over 7.5 million [1]. Among all types of cancer, prostate
cancer is the … In 2008, around 900 000 new cases of prostate cancer were diagnosed, and …

… Since NGS produces high-dimensional and complex data, NGS methods for cancer
diagnosis usually need higher-dimensional and deeper-seated data coverage to enhance the …

… This research focuses on the diagnosis of cervical cancer by using the data mining techniques.
Cervical cancer is one of the most fatal cancer, the reason being the delay in diagnosis of …

… This temporarily increased awareness of breast cancer screening is temporally associated
with the diagnosis of breast cancer in several prominent public figures (including both Betty …

… cancer (PCa) is the most commonly diagnosed cancer among men in the United States. In
this paper, we survey computer aided-diagnosis … detection and diagnosis of prostate cancer. …

… Constructing improved risk stratification models requires data and biological samples from
large cohorts, ideally in prediagnostic populations that are followed for any cancer diagnoses. …

… ensemble machine learning methods for the diagnosis of specific human cancer types. In
fact, full-text English-language articles that focus on identifying one or more specific cancers …

… method for prostate cancer diagnosis, this study employs Ag-based SERS technique combined
with SVM to classify serum SERS spectra between prostate cancer patients and normal …

… developed methods and machine-learning algorithms exist to cope with different cancers
in today's world. Most of these methods help with a cancer diagnosis and detect cancer lev…

… In order to overcome the complexity of cancer data, researchers have developed a variety
of AI tools to help with cancer diagnosis and treatment. As mentioned, a large number of AI …