HUNCHEST-II Contributes to a Shift to Earlier-Stage Lung Cancer Detection: Final Results of a Nationwide Screening Program.
EUROPEAN RADIOLOGY(2024)
National Koranyi Institute of Pulmonology | Békés County Central Hospital | Borsod Abauj Zemplen Cty Hosp | Vas County Markusovszky University Teaching Hospital | Törökbálint Institute of Pulmonology | Bács-Kiskun County Teaching Hospital | Petz Aladár University Teaching Hospital | Szabolcs-Szatmár-Bereg County Hospitals and University Teaching | Hódmezővásárhely- Makó Healthcare Services Center | University of Szeged | Pulmonological Institute of Veszprém County | Fejér County Szent György University Teaching Hospital | University of Pecs | Somogy County Kaposi Mór Teaching Hospital | Semmelweis University | MediConcept | Veszprém County Csolnoky Ferenc Hospital | National Institute of Oncology | University of Debrecen | Mátra Hospital
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

HUNCHEST Projects—advancing Low-Dose CT Lung Cancer Screening in Hungary
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