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Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Towards automated metaphase cell detection using foundation models: A SAM and DINO-based approach

M. Cihad Arslanoglu, Abdulkadir Albayrak, Huseyin Acar • Engineering Science and Technology, an International Journal (2026)

Karyotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection. Cytogeneticists examine all the images ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jestch.2025.102262

Florence: A New Foundation Model for Computer Vision

Lu Yuan, Dongdong Chen, Yi‐Ling Chen, Noel Codella et al. • arXiv (Cornell University) (2021)

Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on d...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2111.11432

Comparing Clinical Metadata Fusion Strategies for Diabetic and Hypertensive Retinopathy Classification

Vinicius de Carvalho Rispoli, Alan Müller, Weverson Garcia Medeiros, Marília Miranda Forte Gomes et al. • Machine Learning and Knowledge Extraction (2026)

Structured clinical variables may complement fundus photographs, but the most appropriate point at which to integrate them into a retinal foundation model remains uncertain. This study compares an image-only baseline with three strategies f...

DOAJ Open Access (DOAJ) DOI: 10.3390/make8100299