A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection

A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection

Background: Accurate and reliable classification models play a major role in clinical decision-making processes for prostate cancer (PCa) diagnosis. However, existing methods often demonstrate limited performance, particularly when applied to small datasets and binary classification problems. Object...

Full description

Bibliographic Details
Main Authors: Murat Sarıateş, Erdal Özbay
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
prostate cancer
fine tuning
CNN
transfer learning
classification
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/1/225

Internet

https://www.mdpi.com/2076-3417/15/1/225

Similar Items