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Oktovivian/README.md

Ramadhan Oktovivian Muhammad

Computer Science Student and Research Assistant at Telkom University

Specialization: Artificial Neural Networks, Advanced Computer Vision, Deep Learning, Machine Learning, Human Learning, Natural Language Processing, Recommender System, Business Dashboard, Data Analytics

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  1. Hotspot-Segmentation-in-Whole-Body-Bone-Scans-for-Cancer-Metastasis-Detection- Hotspot-Segmentation-in-Whole-Body-Bone-Scans-for-Cancer-Metastasis-Detection- Public

    This study focuses on the performance of U-Net++ for hotspot segmentation on bone scan images. This code is proprietary and is shared for reference purposes only. It may not be used, modified, or d…

    Jupyter Notebook

  2. Mateng-Ga-Fruit-Ripeness-Classifier-Model Mateng-Ga-Fruit-Ripeness-Classifier-Model Public

    Fruit Ripeness Classifier, ensembling deep learning CNN and shallow learning. Consists of two stage: (1) fruit classifier (2) ripe classifier

    Jupyter Notebook

  3. Whole-Body-Bone-Scan-Image-Segmentation-Using-Pseudo-Labeling-with-U-NetPlusPlus Whole-Body-Bone-Scan-Image-Segmentation-Using-Pseudo-Labeling-with-U-NetPlusPlus Public

    Forked from aldianprawira/Whole-Body-Bone-Scan-Image-Segmentation-Using-Pseudo-Labeling

    This study aims to optimize the U-Net++ architecture for whole-body bone scan image segmentation using the repository "Whole-Body-Bone-Scan-Image-Segmentation-Using-Pseudo-Labeling" as a foundatio…

    Jupyter Notebook