This filtered set of images were used for a separate human observer study and texture analysis (both described below) to examine the effect of image filtration. In Fig. 4, we present a comparison of reconstructed images before and after applying Wiener filter. Figure 3 An example of three ...
Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcinoma, Fibroadenoma, Lobular carcinoma, etc.). However, breas...
Enhancement of Breast Images by Noise Reduction and MTF Compensation to Improve Microcalcifications DetectionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves....
The input image is normalized before segmentation and the network is trained in two stages to improve the performance. On average, their network on 30,275,903 effective points achieved a sensitivity of 0.8758 and 0.7158 for exudates and dark lesions, respectively, on the CLEOPATRA database. It ...
In practice, the filtering process is done once before the evolution, and the values of the smoothed image [Math Processing Error]G⋆I are used instead of I in the computation of the gradient. High values for the parameter p may enlarge the region where the function is close to 0, ...
Ultrasound imaging is the most popular, non-invasive tool in clinical for diagnosis and prognosis of Breast Cancer. Breast Ultrasound (BUS) image is highly suffered by a granular pattern called speckle noise that degrades the quality of image. De-noising is the first and foremost challenging step...
The paper introduces an algorithm for speckle noise reduction in breast cancer ultrasound images. Based on wavelet analysis and filtering, we employed a combination of homogeneity filtering and modified bayes shrink methods to remove noise while keeping the sharpness of important features. First, we ...
Additionally, we have also shown the potential of deriving WSI deep learning models from TMAs -- not just for IHC scoring. To the best of our knowledge, no other study has employed this approach before. One advantage of the current study over similar studies [8] is that no manual ...
Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usually followed as
After surgery, smooth curves should be exhibited if appropriate reduction has been achieved. Here, we describe the development of the analysis software and present the outcome measures in this report. Results The discrete curvature values obtained before and after surgery using the software were ...