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Contain the following: the entire CT images database (class 1-3) as well as the PP results data (as binary jpg images) and GGO highlighted fused images results data (as jpg); the software code presenting the CNN for classification results (as Matlab interface); an MALAB web app example (as MLAPP file) and a demonstration video of the operation (covid19APP_1.avi).
This repository contains all the quantitative classification results for download: IMAGES, contain the entire Thermographic Breast Images database (class 1-2, with cancer or without), as well as the Level set based results data (as jpg images) for every D CNN model; D CNN models, the software code presenting the D CNN models for classification results into 2-fold cross validation (as Matlab .m).
We use the Herlev dataset (provided from http://mde-lab.aegean.gr/index.php/downloads). The supplementary materials for download contains: the entire cervical cells images database (class 1-2, H-SIL and L-SIL) and the ground-truth (as binary jpg images), both for obtained the synthetic cell images; classical/CNN-TRF method (as Matlab interface); Weka features and associated class for test and train experiments (as ARFF Data File) and Weka TRF, MLP, BN models for final results.
The supplementary materials for download contains: the 50 sequences of Pap-smear images; the results; and the proposed MFIF method as Matlab interface.
The supplementary materials for download contains: the 50 sequences of Pap-smear images; the results; and the proposed MFIF method as Matlab interface.
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