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Computer-Aided Diagnosis Systems for Prostate Cancer: A Comprehensive Study.

Gaurav Garg1

  • 1Department of Computer Science and Engineering Chitkara School of Engineering and Technology Chitkara University, Baddi, Himachal Pradesh, INDIA.

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|May 23, 2023
PubMed
Summary

Computer-Aided Diagnosis (CADx) systems offer critical advancements for detecting prostate cancer (PCa) in older men. This study analyzes CADx phases to improve timely diagnosis and treatment, reducing mortality rates.

Keywords:
CADxClassificationMRI.Prostate CancerSegmentation

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Area of Science:

  • Medical Imaging
  • Oncology
  • Biomedical Engineering

Background:

  • Prostate cancer (PCa) is a leading cause of death in American men, predominantly affecting those aged 66.
  • Accurate and timely diagnosis of PCa presents significant challenges for healthcare professionals.
  • Early detection is crucial for effective treatment planning and reducing mortality.

Purpose of the Study:

  • To analyze the different phases of Computer-Aided Diagnosis (CADx) systems specifically for prostate cancer.
  • To evaluate the state-of-the-art techniques in quantitative and qualitative aspects for each CADx phase.
  • To identify research gaps and provide insights for biomedical engineers and researchers in PCa detection.

Main Methods:

  • Comprehensive analysis of existing literature on CADx systems for prostate cancer.
  • Evaluation of quantitative and qualitative metrics for each phase of CADx.
  • Identification and discussion of current research gaps and findings.

Main Results:

  • Detailed examination of each phase within PCa-specific CADx systems.
  • Assessment of current techniques, highlighting strengths and weaknesses.
  • Identification of critical research gaps across all analyzed CADx phases.

Conclusions:

  • CADx systems are vital for improving prostate cancer diagnosis and management.
  • Further research is needed to address identified gaps in PCa CADx development and application.
  • This study provides a roadmap for future advancements in CADx for prostate cancer.