Publications by authors named "Botong Wu"
Article Synopsis
- The study evaluated how deep learning (DL) can automatically measure tumor size in MRI scans to predict early recurrence of hepatocellular carcinoma (HCC) after surgery.
- It involved 592 patients who had liver tumor surgery, with results showing that total tumor burden (TTB) was the strongest indicator of early recurrence, differentiating risk levels among patients.
- The findings suggest that using DL to analyze MRIs can help redefine patient classification, potentially leading to better treatment plans based on the risk of recurrence.
Objectives: To investigate the utility of deep learning (DL) automated segmentation-based MRI radiomic features and clinical-radiological characteristics in predicting early recurrence after curative resection of single hepatocellular carcinoma (HCC).
Methods: This single-center, retrospective study included consecutive patients with surgically proven HCC who underwent contrast-enhanced MRI before curative hepatectomy from December 2009 to December 2021. Using 3D U-net-based DL algorithms, automated segmentation of the liver and HCC was performed on six MRI sequences.
Article Synopsis
- The study aimed to explore how deep learning-based arterial subtraction images can improve the assessment of liver cancer viability using a specific MRI algorithm (LR-TR).
- Researchers analyzed data from 105 patients with liver cancer (HCC) who underwent therapy, revealing that using arterial subtraction images significantly improved the accuracy and sensitivity of detecting viable tumors compared to standard MRI alone.
- While the addition of arterial subtraction images did reduce specificity slightly, it wasn't significantly impactful, indicating that these images enhance detection without compromising overall effectiveness.
Objective: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGGNs) with deep learning-assisted nodule segmentation.
Methods: Between January 2007 and October 2018, 110 pGGNs from 110 patients with 573 follow-up CT scans were included in this retrospective study. pGGN automatic segmentation was performed on initial and all follow-up CT scans using the Dr.
Existing person re-identification (re-id) methods typically assume that: 1) any probe person is guaranteed to appear in the gallery target population during deployment (i.e., closed-world) and 2) the probe set contains only a limited number of people (i.
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