<b>Supporting data for "CT Radiomics and Deep Learning Auto-segmentation in Epithelial Ovarian Carcinoma Treatment Response and Prognosis Evaluation"</b> حسب Mengge He (11085414)

"…Pre- and post-NACT ceCT scans of OC patients with OM were retrospectively collected and resampled (n=47). Their auto-segmentation was generated with their volume calculated automatically. …"

The need for a more powerful colony counting algorithm. حسب Sijie Chen (1622476)

Comparison of MCount ( and ) and NICE performance in recognizing colony segments and sub-images. حسب Sijie Chen (1622476)

"…<p><b>(a)</b> Bubble plot of MCount counting result versus ground truth label on 15,847 colony segments. The size of each bubble at location (x,y) is proportional to the number of segments that have x merged colonies but are recognized as y colonies by MCount. …"

Data Sheet 1_Artificial intelligence-assisted delineation for postoperative radiotherapy in patients with lung cancer: a prospective, multi-center, cohort study.docx حسب Ziming Han (19926057)

"…</p>Methods<p>We previously developed an AI auto-segmentation model in 664 patients and validated its contouring performance in 149 patients. …"