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)...
Breast cancerBreakHisDDNADeep learningBreast Cancer is one of the fatal diseases and leading cause of mortality in women all over the world; moreover, early detection of breast cancer can minimize the risk of death, however accurate detection and classification of breast cancer is critical task. ...
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...
The central high density of the mass also allows for detection based upon contrast differences between the malignant lesion and the surrounding normal breast tissue. While it has been reported in several series that up to 53 % of ILC tumors present as spiculated masses on mammography [13, 15]...
MH is benign lesion ○ No increased risk for progression to malignancy View chapter Related terms: Cancer Nucleoside Mammography Neoplasm Benign Tumor Biopsy Breast Tumor Malignant Neoplasm Breast Cancer Fibroadenoma View all Topics Recommended publications Clinical Breast Cancer Journal The Breast Journal ...
The median time from diagnosis of breast cancer to initial CT examination was 14.1 weeks (range, -3.7 to 296 weeks). The presence of at least one hepatic lesion deemed TSTC was reported in 277 of 941 women (29.4%) in whom no definite hepatic metastasis was reported. Subsequent imaging ...
Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs intense workload, and diagnostic errors are pro
Click the ‘Next’ button to evaluate the next pair of US images. The Tsukuba scoring system The EUS is scored by sonographer based on 5-point scoring system17. The detailed scoring rules are as follows: 1 = even strain over the entire lesion; 2 = strain in most of the ...
[106]. Mammography can also help to distinguish between benign and malignant lesions of the male breast. The mammographic characteristics in male breast cancer are more likely to show a mass lesion, rather than micro calcifications [105]. Fine needle aspiration cytology (FNAC) is a reliable ...
Methods are being sought that allow early and accurate diagnosis of cancer, and to precisely differentiate the character of the lesion and qualify for biopsy. X-ray mammography has reduced breast cancer mortality up to 45%, and is recommended as a screening method2, but its sensitivity is ...