Hong-Yan Zhang, Wei Sun, Xiao Chen, Rui-Jia Lin, Yu Zhou
Fixed-point algorithms for solving the critical value and upper tail quantile of Kuiper's statistics
Heliyon
accurate segmentation lung tumors chest computed tomography ct scans crucial effective diagnosis treatment planning deep learning dl emerged promising tool medical imaging particularly lung cancer segmentation however efficacy across different clinical settings tumor stages remains variable conducted comprehensive search pubmed embase web science november 7 2023 assessed quality studies using checklist artificial intelligence medical imaging quality assessment diagnostic accuracy studies2 tools analysis included data various clinical settings stages lung cancer key performance metrics dice similarity coefficient pooled factors affecting algorithm performance clinical setting algorithm type image processing techniques examined analysis 37 studies revealed pooled dice score 79 95 ci 76 83 indicating moderate accuracy radiotherapy studies slightly lower score 78 95 ci 74 82 temporal increase noted recent studies post2022 showing improvement 75 95 ci 70 81 82 95 ci 81 84 key factors affecting performance included algorithm type resolution adjustment image cropping quadas2 assessments identified ambiguous risks 78 studies due data interval omissions concerns generalizability 8 due nodule size exclusions claim criteria highlighted areas improvement average score 2724 42 metaanalysis demonstrates dl algorithms promising varied efficacy lung cancer segmentation particularly higher efficacy noted early stages results highlight critical need continued development tailored dl models improve segmentation accuracy across diverse clinical settings especially advanced cancer stages greater challenges recent studies demonstrate ongoing advancements algorithmic approaches crucial future applications