November 2024 in “Image Analysis & Stereology” This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.
September 2017 in “Indian Journal of Plastic Surgery” This study presents an economical and user-friendly training module using common materials and goat skin to teach the steps of the strip method for hair follicle harvesting and implantation.
April 2026 in “Scientific Reports” In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
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May 1998 in “Skin Research and Technology” This study characterized the stress-strain properties of the human scalp and found that its stiffness increases significantly with load, providing valuable insights for planning scalp surgery procedures.
October 2023 in “Biomedical science and engineering” Innovative methods are reducing animal testing and improving biomedical research.
