https://blog.defectiv.es/en/tags/medical-imaging/Recent content in medical-imaging on Gaia Lab · BlogHugoen-GBWed, 23 Sep 2026 09:00:00 +0200https://blog.defectiv.es/en/posts/segmentacion-dental-y-100-semillas/Tue, 22 Sep 2026 13:30:00 +0200https://blog.defectiv.es/en/posts/segmentacion-dental-y-100-semillas/<p>Sixth instalment of <strong>Cluster X-ray</strong>. After the <a href="https://blog.defectiv.es/en/posts/arboles-uno-a-uno-desde-nubes-de-puntos-lidar/">forests</a> , the most frugal line in the archive: twenty GPU-hours in four months and a methodological question that many papers publish without answering.</p> <h2 id="the-question">The question <a class="hanchor" href="#the-question" aria-label="Enlace a esta sección">#</a></h2> <p>Automatically segmenting structures in dental images, separating the region of interest from the background pixel by pixel, is the basis of any subsequent measurement or assisted diagnosis. The literature compares architectures with a single run per model, and the differences between them are often on the order of one point. The line asks two things: <strong>which architecture segments this type of image best, and how much of the difference between two models is real and how much is the lottery of initialisation.</strong></p>