Weakly-Supervised Segmentation Projects for ME, MTech, Masters, MS abroad, and PhD students. These Weakly-Supervised Segmentation ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Weakly-Supervised Segmentation Projects
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Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans
This project developed an artificial intelligence system to detect and measure lung cavity lesions from CT scans. The system can automatically find and outline the affected areas. It also calculates important features like size and thickness. This tool can help doctors diagnose, monitor, and track treatment of lung lesions more quickly and accurately.
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