Breast cancer, disease characterized by the growth of malignant cells in the mammary glands. Breast cancer can strike males and females, although women are about 100 times more likely to develop the disease than men. Most cancers in female breasts form s
Deep learning has been used extensively in histopathological image classification, but people in this field are still exploring new neural network architectures for more effective and efficient cancer diagnosis. Here, we propose multi-scale, multi-view progressive feature encoding network (MSMV-PFENet)...
The purpose of this paper is to leverage deep learning to classify the hematoxylin-eosin-stained breast cancer microscopy images of our collected dataset into normal tissue, benign lesion, in situ carcinoma, and invasive carcinoma. To achieve this, we utilized six intermediate layers of the pre-tr...
Ultrasound imagesGray level co-occurrence matrix (GLCM)Support vector machine k-Nearest neighborConfusion matrixBackground: Breast cancer is one of the leading causes of cancer death in women around the world. In order to reduce the death rate, the tumors have to be detected at the early stage...
MH is benign lesion ○ No increased risk for progression to malignancy View chapterExplore book Related terms: Cancer Nucleoside Mammography Neoplasm Benign Tumor Biopsy Breast Tumor Malignant Neoplasm Breast Cancer Fibroadenoma View all Topics Recommended publications International Journal of Surgery Case ...
(b) some example images are shown. The normal tissue and benign lesion are labeled as the benign class, and in situ carcinoma coupled with invasive carcinoma are treated as cancer lesion. The dataset is divided into a training subset (including validation set) and a testing subset. The ...
SMM should not be used to exclude malignancy whenever histopathological clarification of a suspicious lesion is necessary [26]. When SMM is positive, a biopsy is necessary because a high proportion of these lesions will prove to be cancerous. Although fewer biopsies may be required, the ...
Accurate lesion segmentation in breast ultrasound (BUS) images is of great significance for the clinical diagnosis and treatment of breast cancer. However, precise segmentation on missing/ambiguous boundaries or confusing regions remains challenging. In this paper, we proposed a novel residual feedback ...
Radiomics reflects the texture and morphological features of tumours by quantitatively analysing the grey values of medical images. We aim to develop a nomogram incorporating radiomics and the Breast Imaging Reporting and Data System (BI-RADS) for predicting breast cancer in BI-RADS ultrasound (US) ...
Human epidermal growth factor receptor 2 (HER2) positive breast cancer accounts for 20–25% of all breast cancers. Multiple HER2-targeted therapies have been developed over the last few years, including the tyrosine kinase inhibitors (TKI) lapatinib, neratinib, tucatinib, and pyrotinib. These drug...