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Datasets/LIDC-IDRI

LIDC-IDRI

ImagesMedicalCustom

The LIDC-IDRI dataset contains lesion annotations from four experienced thoracic radiologists. LIDC-IDRI contains 1,018 low-dose lung CTs from 1010 lung patients.

Source: A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans Image Source: https://thesai.org/Publications/ViewPaper?Volume=8&Issue=10&Code=IJACSA&SerialNo=15

Benchmarks

AutoML/F1 score AutoML/Specificity (VEB+)Lung Nodule 3D Classification/AUC Lung Nodule Classification/Accuracy Lung Nodule Classification/Acc Lung Nodule Classification/AUC Lung Nodule Classification/Accuracy(10-fold)Lung Nodule Classification/Recall/ Sensitivity Lung Nodule Classification/Precision Lung Nodule Classification/F1 Score Lung Nodule Detection/AUC Lung Nodule Detection/mean average precision Lung Nodule Detection/Sensitivity Medical Image Segmentation/IoU Medical Image Segmentation/Dice Neural Architecture Search/F1 score Neural Architecture Search/Specificity (VEB+)

Statistics

Papers: 240
Benchmarks: 17

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Tasks

AutoML Lung Nodule 3D Classification Lung Nodule 3D Detection Lung Nodule Classification Lung Nodule Detection Lung Nodule Segmentation Medical Image Segmentation Neural Architecture Search