Latest AI and machine learning research in other cancers for healthcare professionals.
This study aimed to analyze the diagnostic value of multimodal images based on artificial intelligen...
Artificial intelligence (AI), Internet of Things (IoT), and the cloud computing have recently become...
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long ...
The research is aimed at investigating computed tomography (CT) image based on deep learning algorit...
BACKGROUND: To evaluate long-term oncological and renal function outcomes in patients treated with r...
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of ...
With the advancement in technology, machine learning can be applied to diagnose the mass/tumor in th...
Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. ...
Immunotherapy has made great progress in hepatocellular carcinoma (HCC), yet there is still a lack o...
The mitotic count (MC) is an important histological parameter for prognostication of malignant neopl...
Lymph node metastasis also called nodal metastasis (Nmet), is a clinically primary task for physicia...
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguina...
The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in ...
BACKGROUND AND PURPOSE: The preoperative lymph node (LN) status is important for the treatment of co...
Cancer subtype classification helps us to understand the pathogenesis of cancer and develop new canc...
OBJECTIVE: We aimed to develop a predictive model for occult cervical lymph node metastasis in patie...
In immunotherapy, ex vivo stimulation of T cells requires significant resources and effort. Here, we...
The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex an...
With the remarkable success of representation learning for prediction problems, we have witnessed a ...
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of inte...
Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response predictio...