Actualités

GitHub6 a
bariqi/Image-Processing-for-Lung-Cancer-Classification - GitHub
Contribute to bariqi/Image-Processing-for-Lung-Cancer-Classification development by creating an account ... There is no metrics performance due to restriction of image label class. To run the program, ...
GitHub3 a
Lung cancer detection using Image Processing algorithms in MATLAB
These ground truth images are the correct lung cancer nodules for the corresponding CT scan image. It is suggested for you to put all of these images in a single folder together with the source codes ...
IEEE8 a
An improved image processing analysis for the detection of lung cancer using Gabor filters and watershed segmentation technique - IEEE Xplore
Earlier researchers employed methods like Fast Fourier Transform (FFT) for image enhancement, thresholding approach for segmentation and Binarization approach for Extraction etc.,. Research work ...
IEEE8 a
An improved image processing analysis for the detection of lung cancer using Gabor filters and watershed segmentation technique - IEEE Xplore
Earlier researchers employed methods like Fast Fourier Transform (FFT) for image enhancement, thresholding approach for segmentation and Binarization approach for Extraction etc.,. Research work ...
Nature8 a
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features | Nature Communications
Diagnosis of lung cancer through manual histopathology evaluation is insufficient to predict patient survival. Here, the authors use computerized image processing to identify diagnostically ...