Using a deep convolutional neural network (CNN), we developed an automated tumor region recognition system for lung cancer pathology images. From the identified tumor regions, we extracted 22 well-defined shape and boundary features and found that 15 of them were significantly associated with patient...
However, using WSIs for survival prediction is very challenging due to several reasons: (1) pathological images in real cancer dataset might be in terabytes (1012 pixels) level which makes most models computationally impossible. (2) the large variations of textures and biological structures from ...
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...
Emerging clinical results in terms of reducing treatment-related morbidity and increasing local control appear promising. Recent developments in imaging have suggested that biological images may further positively impact cancer diagnosis, characterization and therapy. While in the past radiological images are...
Drug sensitivity prediction models can aid in personalising cancer therapy, biomarker discovery, and drug design. Such models require survival data from randomised controlled trials which can be time consuming and expensive. In this proof-of-concept stud
Background:The diagnosis of lung cancer is often made based on computed tomography (CT) image findings if it cannot be confirmed on pathological examinations, such as bronchoscopy. However, the CT image findings of cancerous lesions are similar to those
Nipple-areola complex reconstruction Nipple areolar reconstruction (NAC) was introduced since 1940s and evolved as parallel with breast reconstruction since era of breast cancer treatment. It ... A Nimboriboonporn,S Chuthapisith - 《Gland Surgery》 被引量: 25发表: 2014年 加载更多来源...
Introduction : Colon cancer is one of the major reasons of cancer-related deaths, whereas both the traditional and the current methods are complex to conduct. Materials and Methods : This paper presents a simple and effective approach for colon cancer detection by classifying cancer and non-cancer...
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 gold standard approach. However, this pr...
Harabasz index was also used to additionally assess the clustering quality. The patches in different clusters were considered to have discriminative imaging patterns related to cancer types. The clustering process can be found in Supplementary Methods A5....