Varun Sharma, Shreya Ghosh, Priti Mahara
Exploring the determinants of internet addiction among Peri-urban adolescents (aged 13-18) in Delhi-NCR, India: an ordered logit model analysis
International journal of adolescent medicine and health
artificial intelligence ai agents encounter problem catastrophic forgetting trained sequentially new data batches issue poses barrier implementation aibased models tasks involve ongoing evolution cancer prediction moreover whole slide images wsi play crucial role cancer management automated analysis become increasingly popular assisting pathologists diagnosis process incremental learning il techniques aim develop algorithms capable retaining previously acquired information also acquiring new insights predict future data deep il techniques need address challenges posed gigapixel scale wsis often necessitates use multiple instance learning mil frameworks paper introduce il algorithm tailored analyzing wsis within mil paradigm proposed multiple instance classincremental learning micil algorithm combines mil classil first time allowing incremental prediction multiple skin cancer subtypes wsis within classil scenario framework incorporates knowledge distillation data rehearsal along novel embeddinglevel distillation aiming preserve latent space aggregated wsi level results demonstrate algorithms effectiveness addressing challenge balancing ilspecific metrics intransigence forgetting solving plasticitystability dilemma