Weakly Supervised Learning Projects for ME, MTech, Masters, MS abroad, and PhD students. These Weakly Supervised Learning 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 Learning Projects
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A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
This project is about teaching computers to analyze very large medical images for disease detection. Normally, labeling these images takes too much time. The researchers created a new method that looks at the images at different zoom levels and learns how parts of the image relate to each other. Their approach makes predictions more accurate and works better than previous methods on standard datasets.
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