mlsanityData to 7 Oct 2026

A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound

arXiv 2407.00678 ↗First posted 30 Jun 2024eess.IV cs.CVcited by 3

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Abstract (arXiv)

Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) plays a vital role in the diagnosis and image-guided intervention of PCa.To facilitate physicians with more accurate and efficient computer-assisted diagnosis and interventions, many image processing algorithms in TRUS have been proposed and achieved state-of-the-art performance in several tasks, including prostate gland segmentation, prostate image registration, PCa classification and detection, and interventional needle detection. The rapid development of these algorithms over the past two decades necessitates a comprehensive summary. In consequence, this survey provides a textcolorbluenarrative analysis of this field, outlining the evolution of image processing methods in the context of TRUS image analysis and meanwhile highlighting their relevant contributions. Furthermore, this survey discusses current challenges and suggests future research directions to possibly advance this field further.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 29 of its 273 references that are in the map. First posted on arXiv 30 Jun 2024.

Builds on

29 of 273 references.

References · 29

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17 more
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Citing papers per year: 2025: 3.

3 papers.

  1. 2025MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imagingcited by 3
  2. 2025Salient Region Matching for Fully Automated MR-TRUS Registrationcited by 0
  3. 2025Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasoundcited by 0