Figure 3 | Scientific Reports

Figure 3

From: A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy

Figure 3

Examples of model prediction outputs for pancreatic ductal adenocarcinoma (PDAC). EUS-FNB samples are mainly composed of fragmented tissues. Our model was able to detect cancer cells selectively among the isolated cells in the specimen (a, b). However, the identification of invasive cancer cells (arrow) was not always made accurately (c, d). The detection of cancer cells in small cluster areas was difficult (e, f). In the false positive case, gastric glands were mislabelled as adenocarcinoma (g, h). Scale bars: 100 μm.

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