A State-of-the-Art Review on Machine Learning-based Methods for Prostate Cancer Diagnosis
Prostate cancer can be viewed as the second most dangerous and diagnosed cancer of men all over the world. In the past decade, machine and deep learning methods play a significant role in improving the accuracy of classification for both binary and multi classifications. This review is aimed at prov...
Main Authors: | Ari Mohammed ali Ahmed, Aree Ali Mohammed, Professor |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Human Development
2021-03-01
|
Series: | UHD Journal of Science and Technology |
Subjects: | |
Online Access: | http://journals.uhd.edu.iq/index.php/uhdjst/article/view/792/619 |
Similar Items
-
Predicting High-Risk Prostate Cancer Using Machine Learning Methods
by: Henry Barlow, et al.
Published: (2019-09-01) -
Adversarial Approaches to Tackle Imbalanced Data in Machine Learning
by: Ayoub, S., et al.
Published: (2023) -
Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms
by: James Coe, et al.
Published: (2021-09-01) -
A Survey of Deep Learning Solutions for Multimedia Visual Content Analysis
by: Muhammad Shahroz Nadeem, et al.
Published: (2019-01-01) -
A domain-specific language for describing machine learning datasets
by: Cabot, J., et al.
Published: (2023)