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To address these limitations, we propose a novel multitask learning framework that combines detection-based spatial awareness during training with efficient multilabel classification at inference. Validated on a public dataset collected at BCNatal center, the method was compared against a standard ResNet-101 multilabel baseline. Results demonstrate that the proposed framework achieves an average F1-score of 0.92, significantly outperforming the baseline, particularly for the challenging Cavum Septi Pellucidi where precision improves from 0.76 to 0.93. Grad-CAM visualizations reveal substantially more focused and anatomically precise attention maps compared to baseline approaches, with activations concentrated on clinically relevant substructures such as the cerebellar vermis. These findings confirm that, by discarding the auxiliary detection head at inference, the model retains the spatial features learned during training while minimizing computational overhead.<\/jats:p>","DOI":"10.1007\/s00521-026-12115-x","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T05:01:13Z","timestamp":1779771673000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From classification to landmark-aware identification: a multi-task multilabel approach for fetal brain ultrasound planes"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7397-803X","authenticated-orcid":false,"given":"Maria Chiara","family":"Fiorentino","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riccardo","family":"Rosati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edoardo","family":"Conti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Costantino","family":"Tigano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adriano","family":"Mancini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,26]]},"reference":[{"issue":"11","key":"12115_CR1","doi-asserted-by":"publisher","first-page":"2204","DOI":"10.1109\/TMI.2017.2712367","volume":"36","author":"CF Baumgartner","year":"2017","unstructured":"Baumgartner CF, Kamnitsas K, Matthew J, Fletcher TP, Smith S, Koch LM, Kainz B, Rueckert D (2017) Sononet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound. 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