biostudies-literatureYen SYMinistry of Health and Welfare, Taiwan, Republic of China.6460https://www.ebi.ac.uk/biostudies/studies/S-EPMC7979719biostudies-literatureUnknown11(1)We developed a magnetic-assisted capsule colonoscope system with integration of computer vision-based object detection and an alignment control scheme. Two convolutional neural network models A and B for lumen identification were trained on an endoscopic dataset of 9080 images. In the lumen alignment experiment, models C and D used a simulated dataset of 8414 images. The models were evaluated using validation indexes for recall (R), precision (P), mean average precision (mAP), and F1 score. Predictive performance was evaluated with the area under the P-R curve. Adjustments of pitch and yaw angles and alignment control time were analyzed in the alignment experiment. Model D had the best predictive performance. Its R, P, mAP, and F1 score were 0.964, 0.961, 0.961, and 0.963, respectively, whScientific reportsAutomatic lumen detection and magnetic alignment control for magnetic-assisted capsule colonoscope system optimization.PMC7979719MOHW109-TDU-B-212-134020Chu CFHuang HELiu CWYen SYHuang WMSuk FMLien GSfalseAutomatic lumen detection and magnetic alignment control for magnetic-assisted capsule colonoscope system optimization.We developed a magnetic-assisted capsule colonoscope system with integration of computer vision-based object detection and an alignment control scheme. Two convolutional neural network models A and B for lumen identification were trained on an endoscopic dataset of 9080 images. In the lumen alignment experiment, models C and D used a simulated dataset of 8414 images. The models were evaluated using validation indexes for recall (R), precision (P), mean average precision (mAP), and F1 score. Predictive performance was evaluated with the area under the P-R curve. Adjustments of pitch and yaw angles and alignment control time were analyzed in the alignment experiment. Model D had the best predictive performance. Its R, P, mAP, and F1 score were 0.964, 0.961, 0.961, and 0.963, respectively, wh2021-01-01T00:00:00Z2021 Mar2025-04-05T15:24:52.15Z2025-04-05T15:24:52.15ZS-EPMC79797193374206710.1038/s41598-021-86101-9