An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
Abstract: Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). Existing deep learning-based tongue image ...
Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...
A modern Python GUI application for open-source image conversion and resizing, built with PySide6. Supports drag & drop, clipboard paste, URL fetching, unit conversion (pixels, cm, inches), batch ...
Automated diamond segmentation using GrabCut with CLAHE preprocessing. Processes 57K+ images across 14 diamond shapes. Developed at MiNeD Hackathon, Nirma University.
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