Self-Supervised Laparoscopic Image Denoising for Endometriosis Detection
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This paper presents a self-supervised approach to denoise laparoscopic images, aiming to improve the accuracy of endometriosis detection in surgical settings.
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Cites (2)
References (34)
- Endometriosis detection and localization in laparoscopic gynecology via openalex
- GLENDA: Gynecologic Laparoscopy Endometriosis Dataset via openalex
- W2056370875 via openalex
- W2097073572 via openalex
- W2133665775 via openalex
- W2194775991 via openalex
- W2508457857 via openalex
- W2610942117 via openalex
- W2626778328 via openalex
- W2764207251 via openalex
- W2810650256 via openalex
- W2902857081 via openalex
- W2950689937 via openalex
- W2972158684 via openalex
- W3039236647 via openalex
- W3081639259 via openalex
- W3093937166 via openalex
- W3134245757 via openalex
- W3177370829 via openalex
- W3194335755 via openalex
- W3204174392 via openalex
- W3207918547 via openalex
- W4289752563 via openalex
- W4309011368 via openalex
- W4390344219 via openalex
- W4392345023 via openalex
- W4397014419 via openalex
- W4404307300 via openalex
- W4409559231 via openalex
- W4413833620 via openalex
- W7118005314 via openalex
- W1901129140 via openalex
- W7162533140 via openalex
- W1993205988 via openalex
Source provenance
- openalex
- last seen: 2026-10-12T06:08:43.041439+00:00
- unpaywall
- last seen: 2026-10-12T06:33:14.382917+00:00
License: CC0
· commercial use OK