LUNA16-Lung-Nodule-Analysis-2016-Challenge
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Updated
Aug 7, 2023 - Python
LUNA16-Lung-Nodule-Analysis-2016-Challenge
Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.
Lung nodule detection- LUNA 16
Lung Nodules Segmentation from CT scans using CNN.
Boost lung Cancer Detection using Generative model and Semi-Supervised Learning
This study presents the development and validation of AI models for both nodule detection and cancer classification tasks. This benchmarking across multiple datasets establishes the DLCSD as a reliable resource for lung cancer AI research.
Implementation of lung nodule detection and false positive reduction using CT images for LUNA16-LUng-Nodule-Analysis-2016-Challenge.
Python script that extract images from LUNA16 dataset to a human readable format
Full Processing on Luna16 Challange (All data resampled to 1mm x 0.7mm x 0.7mm)
Lung cancer detection using deep learning models
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