Lung Nodule Segmentation
12 papers with code • 5 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Lung Nodule Segmentation
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Libraries
Use these libraries to find Lung Nodule Segmentation models and implementations
LIDC-IDRI
LUNA
Most implemented papers
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
endoluminalsurgicalvision-imr/acnorm
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Driven by the latest trend towards self-supervised learning (SSL), the paradigm of "pretraining-then-finetuning" has been extensively explored to enhance the performance of clinical applications with limited annotations.
INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses
In this study, we propose a novel deep neural network (DNN), entitled InceptNet, in the scope of medical image processing, for early disease detection and segmentation of medical images in order to enhance precision and performance.
