Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Prostate Cancer Classifier based on Three-Dimensional Magnetic Resonance Imaging and Convolutional Neural Networks
Authors: Ana-Maria Minda (Perea), Adriana Albu
Keywords: prostate cancer, classification, decision-making, diagnosis, CNN, MRI.
– 1.99 Mb
Keywords: prostate cancer, classification, decision-making, diagnosis, CNN, MRI.
Abstract
The main reason for this research is the worldwide existence of a large number of prostate cancers. This article underlines how necessary medical imaging is, in association with artificial intelligence, in early detection of this medical condition. The diagnosis of a patient with prostate cancer is conventionally made based on multiple biopsies, histopathologic tests and other procedures that are time consuming and directly dependent on the experience level of the radiologist. The deep learning algorithms reduce the investigation time and could help medical staff. This work proposes a binary classification algorithm which uses convolutional neural networks to predict whether a 3D MRI scan contains a malignant lesion or not. The provided result can be a starting point in the diagnosis phase. The investigation, however, should be finalized by a human expert.Ana-Maria Minda (Perea)
ORCID: https://orcid.org/0009-0008-1415-4509
Faculty of Automation and Computers,
Politehnica University Timisoara
Timisoara, Romania
E-mail:
Adriana ALBU
ORCID: https://orcid.org/0000-0003-1579-6163
Department of Automation and Applied Informatics,
Politehnica University Timisoara
Timisoara, Romania
E-mail:
ORCID: https://orcid.org/0009-0008-1415-4509
Faculty of Automation and Computers,
Politehnica University Timisoara
Timisoara, Romania
E-mail:
Adriana ALBU
ORCID: https://orcid.org/0000-0003-1579-6163
Department of Automation and Applied Informatics,
Politehnica University Timisoara
Timisoara, Romania
E-mail:
DOI
https://doi.org/10.56415/csjm.v31.02Fulltext
– 1.99 Mb
Contents
- Image Description Generator using Residual Neural Network and Long Short-Term Memory
- Prostate Cancer Classifier based on Three-Dimensional Magnetic Resonance Imaging and Convolutional Neural Networks
- Bandwidth Allocation Algorithm for Makespan Optimization in a Fog-Cloud Environment: Monitoring Application
- A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation
- A Secret Image Sharing Based on Logistic-Chebyshev Chaotic Map and Chinese Remainder Theorem
- A new type of digital signature algorithms with a hidden group
- Performance comparison of CPU and GPGPU calculations using three simple case studies
