Investigating feature extraction by SIFT methods for prostate cancer early detection

Investigating feature extraction by SIFT methods for prostate cancer early detection

Globally, for this leading type of cancer among males, early detection is indispensable for increasing treatment success rates and prognoses of the patients. This research study, therefore, seeks to explore the effectiveness of the SIFT method in improving feature extraction toward the accurate dete...

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Bibliographic Details
Main Authors: Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Egyptian Informatics Journal
Subjects:
Scale-Invariant Feature Transform (SIFT)
Prostate Cancer Detection
MRI Image Analysis
Feature Extraction Techniques
Computer Vision in Medical Diagnostics
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524001701
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