Blog
LLMs & Texto
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
arXiv:2606.27579v1 Announce Type: new Abstract: Accurate assessment of tumor proportion score (TPS) in non-small cell lung cancer (NSCLC) is critical for treatment planning and prognosis. Key challenges include the tedious manual work required to annotate each slide, combined with the limited number of experts certified for this task. Multiple instance learning (MIL) has proven to be an effective approach for predicting TPS scores at the slide level; however, existing methods struggle with non-e...
arXiv cs.CV
·Krzysztof Pysz, Artur Bartczak, Jaros{\l}aw Kwiecie\'n, Piotr Krajewski, Witold Dyrka
·
// relacionados
Leia também
Editorial
O modelo que continua aprendendo depois de entregue: dentro do Macaron-V1
Blog
Novo Nordisk e AWS levam IA agêntica à descoberta de medicamentos
Blog
Nvidia garante o valor de seus próprios chips para destravar US$ 500 bilhões em financiamento de infraestrutura de IA
Modelo