Early detection is the initial step in the reduction of morbidity and mortality from breast cancer. While breast self-examination is encouraged, the yield for detection of small lesions is disappointing. The expert physician examiner is adept at discovering cancer of the breast, but his ability at...
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...
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
Computerized mass detection in whole breast ultrasound images: reduction of false positives using bilateral subtraction technique The comparison of left and right mammograms is a common technique used by radiologists for the detection and diagnosis of masses. In mammography, computer-... Y Ikedo,ML ...
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 ...
Comparison of Techniques for Speckle Noise Reduction in Breast Ultrasound Images Ultrasound scanning is considered the most important complementar method of breast cancer diagnosis. However, the acquisition format of this diagnostic met... PZB Alves,H Schiabel - Springer Berlin Heidelberg 被引量: 3发表...
Deep learning has also been applied in processing medical images of the chest such as breast disease detection [4], [5], [21], lung segmentation [11], detection and classification of pulmonary nodules [22], etc. Celik et al. [4] proposed an invasive ductal carcinoma (IDC) detection metho...
Stratipath Breast is a CE-IVD marked artificial intelligence-based solution for prognostic risk stratification of breast cancer patients into high- and low-risk groups, using haematoxylin and eosin (H&E)-stained histopathology whole slide images (WSI
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to filtered back projection (FBP), and to determine the minimum tube current–time product in TFI withou
The human facial skeleton consists of multiple segments and causes difficulty during analytic processes. We developed image analysis software to quantify the amount of injury and validate the smooth curvature of the surface after facial bone reduction su