Contour array image of Benign. حسب Puneet Thapar (21464240)

Contour array image of Melanoma. حسب Puneet Thapar (21464240)

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Results of Canny edge detector. حسب Lei Liang (326409)

Configuration of training parameters. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

The principle of surface compression. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

Accuracy comparison results. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

Schematic diagram of YOLOv5ds structure. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

Schematic diagram of YOLOv5ds-RC structure. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

Cropped image block diagram. حسب Fangzhe Chang (20896737)

"…These metrics significantly surpass those of the original YOLOv5ds, which recorded values of 0.81483 for accuracy, 0.51332 for recall, 0.63552 for AP at 0.5, and 0.34922 for mAP. The algorithm effectively corrects target displacement deviations in non-orthogonal images and achieves more objective and accurate contour extraction, meeting the requirements for rapid extraction. …"

Enhancements to SarcGraph’s z-disc segmentation pipeline. حسب Saeed Mohammadzadeh (13492285)

Schematic representation of selected data from the Allen Institute dataset. حسب Saeed Mohammadzadeh (13492285)