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 p
Tumor heterogeneity plays an important role in cancer study which includes inter-tumor and intra-tumor heterogeneity (Jamal-Hanjani et al., 2015). Inter-tumor heterogeneity refers to the differences found between tumors in different patients. Intra-tumor heterogeneity refers to distinct tumor cell ...
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
The combination of the YOLO architecture and the GIoU loss enables accurate and fast detection, making the proposed model a promising tool to aid physicians in diagnosing lung cancer.Le, Phong ThanhVietnam National UniversityLe, Thai Hoang
Skin Cancer: Actinic Cheilitis (Farmer's Lip) Actinic cheilitis is simply actinic keratoses affecting the mucous membranes of the lips (vermillion border). This condition usually involves the lower lip simply because of the angle of incidence at which the overhead light waves hit the face. The ...
Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately differentiated, an...
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...
Cancerous tumors in the lungs are often treated by irradiating them with high-energy X-rays, but this therapy is complicated by the fact that tumors are moving targets, due to the expansion and contraction of the lungs as the patient breathes. ...
Although successful detection of malignant tumors from histopathological images largely depends on the long-term experience of radiologists, experts someti... Yun,Jiang,Chen,... - 《Plos One》 被引量: 1发表: 2019年 Lung and colon cancer detection with convolutional neural networks on histopathologic...
Guiding cancer treatment FLASH is already showing promise for guiding future clinical decisions. In aletter inNature, published last year, the team showed how the technique could be used to examine the architecture of pancreatic tumors and predict how aggressive the cancer would become. ...