A continuous learning approach to brain tumor segmentation: integrating multi-scale spatial distillation and pseudo-labeling strategies.

"our code is freely available at https://github com/smallboy-code/a-brain-tumor-segmentation-frameworkusing-continual-learning brain tumor segmentation continuous learning multi-scale spatial distillation pseudo-labeling feature extraction section-in-acceptance cancer imaging and image-directed interventions1 brain tumors characterized by abnormal growths in brain tissue represent a significant medical challenge due to their impact on morbidity and mortality worldwide."

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work is funded in part by the Zhejiang Basic Public Welfare Science and Technology Fund Project (No. LGF19H050001)."