Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1612.08012/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTValidation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge — mentioned by lscholtenhttps://news.ycombinator.com/item?id=13485381urn:hackerpapers:mention:1612.08012:13485381Wed, 25 Jan 2017 19:56:36 GMT<p>Great results! Deep learning has been gaining track in other medicine areas as well. One such task is lung cancer nodule detection from CT scans. A paper I recently co-authored applied many different architectures to this detection and achieved very good results. (https://arxiv.org/pdf/1612.08012.pdf) The best combination of systems detected cancer nodules which were not even found by four experienced thoracic radiologists.</p><p><a href="https://hackerpaper.kaipfister.de/p/1612.08012/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV