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cs.CV2026
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
Krzysztof Pysz, Artur Bartczak, Jarosław Kwiecień +2
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 manua…
cs.CV2016★ 4 cited
Machine learning methods for accurate delineation of tumors in PET images
Jakub Czakon, Filip Drapejkowski, Grzegorz Zurek +3
In oncology, Positron Emission Tomography imaging is widely used in diagnostics of cancer metastases, in monitoring of progress in course of the cancer treatment, and in planning r…