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This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".
Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.
LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
[IJHCS] UTA7: a dataset of heatmaps and images resulted from computing the given abnormalities which were manually delineated by clinicians while annotating the breast cancer lesions.
Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.