Images pièges et difficultés diagnostiques dans le cadre d’un bilan d’endométriose pelvienne : intérêt de la confrontation radioclinique

P. Verpillat, T. Fourquet, Éric Kamus, Pierre Collinet, Anne-Sophie Jacques, C. Capelle, Maxime Bugeaud, Philippe Puech, Chrystèle Rubod
In: Imagerie de la Femme · 2021 · vol. 31(1) , pp. 13–29 · doi:10.1016/j.femme.2020.10.002 · W3135558288
article OA: closed CC0
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⚙ AI-generated summary by qwen3.7-flash+body, 2026-09-13 ⓘ

The provided text is a security challenge page and contains no research content regarding endometriosis or adenomyosis, making it impossible to summarize the paper.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-13 · read from full text ⓘ

The provided text does not contain the abstract or body of a research paper, but rather an error message from a website security system called Anubis. This message explains that a Proof-of-Work challenge was triggered to prevent automated scraping by AI companies, noting that modern JavaScript features are required to bypass it. It serves as a technical barrier to access rather than a scientific report on medical topics. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 1,068 characters · extracted from oa-html · click to expand
Making sure you're not a bot! Loading... You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone. Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive. Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate. Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

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⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-html ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (35)

Source provenance

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License: CC0 · commercial use OK