Axillary Staging after Neoadjuvant Chemotherapy for Initially Node-Positive Breast Carcinoma in Germany Initial Data from the AXSANA Study
Geburtshilfe und Frauenheilkunde(2022)SCI 4区
Univ Klinikum Rostock | Klinikum Esslingen | Med Hsch Brandenburg Theodor Fontane | Univ Klinikum Aachen | Agaplesion Markus Krankenhaus | St Vincenz Krankenhaus GmbH | Univ Klinikum Schleswig Holstein | German Breast Grp Forsch GmbH | Charite | Marien Hosp | Brustzentrum Osnabruck Niels Stensen Kliniken | Leopoldina Krankenhaus | Goethe Univ Frankfurt | Stadt Klinikum Karlsruhe | Regio Klinikum Pinneberg | Klinikum Aschaffenburg Alzenau | Tech Univ Munich | Brustzentrum Sudbaden | Univ Klinikum Tubingen | Brustzentrum Sana Klinikum Lichtenberg | Klinikum Memmingen | HELIOS Klinikum Berlin Buch
- 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

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