[MICCAI'24 Provisional Acceptance] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
lesion-detection 开源项目推荐(32 个)
lesion-detection 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 32 个仓库Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
该仓库保存了论文《Reg R-CNN: Porise Labels下的病灶检测与分级》中使用的代码框架。它是MIC-DKFZ/medicaldetectiontoolkit的一个分支,具有回归能力。
A deep learning framework for detecting lesions in CT scans from Deep Lesion dataset
论文“DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images”的官方代码。一个数据生成流水线,用于创建具有丰富多任务标注、逼真的野外合成皮肤科数据,适用于各种皮肤分析任务。
DeepLesion
[WACV'25] Official implementation of "PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplane MRI Slices".
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!
TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".
Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.
Elsevier-CIBM-2024: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays
The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark.
SEU Bachelor Thesis Project of a auto-diagnosis system for fundus diseases based on deep learning
多类型ISIC 2018皮肤病变分类的深度学习流程,包含CNN、预处理、增强以及训练和推断支持🐙。
Project for UCSF 265
ProLesA-Net: a Deep learning model For Prostate Lesion Segmentation from bi-parametric MR-Images
Zero-shot lesion detection pipeline using SAM for dataset generation and YOLOv11 training.
使用 ISIC 数据集进行皮肤病变分类的深度学习流水线,采用多种深度学习 CNN 算法及高级预处理,包括多线程加载、数据增强和性能评估。
🏥 DICOM Flask App – AI-Powered Lesion Detection A Flask-based web app for uploading, processing, and analyzing DICOM medical images. Uses DeepLesion (Faster R-CNN) for lesion detection and ResNet50 for classification. Features a multi-tab UI with sidebar navigation. A sample DICOM file is included for testing!
Rasa Gastroenterologist AI Chatbot to help doctor detect patients colon cancer lesions using Unity, Darknet Yolo, Keras CNN
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/lesion-detection。
- 该话题在 GitHub 上共有 32 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 469 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。