Latest AI and machine learning research in other cancers for healthcare professionals.
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, ham...
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the stan...
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...
Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate ev...
The tumor proliferation, which is correlated with tumor grade, is a crucial biomarker indicative of ...
OBJECTIVES: To develop a lightweight deep convolutional neural network (CNN) for binary classificati...
The treatment plan of colorectal neoplasm differs based on histology. Although new endoscopic imagin...
Trastuzumab () is useful in the clinical management of HER2-positive metastatic breast, gastric, and...
BACKGROUND: Basal cell carcinoma (BCC) is the most common type of skin cancer with incidence rates r...
We developed and validated a new prognostic model for predicting the overall survival in clear cell ...
Recent advances in nanotechnology have contributed tremendously to the development and revolutionizi...
BACKGROUND: IBM's Watson for Oncology (WFO) is an artificial intelligence tool that trains by acquir...
This study analyzed the prognostic significance of clinico-pathologic factors, including the number ...
BACKGROUND: Non-targeted cytotoxics with anticancer activity are often developed through preclinical...
BACKGROUND: There are no established accurate models that use machine learning (ML) methods to preop...
Deep-learning methods for computational pathology require either manual annotation of gigapixel whol...
The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GL...
Based on the better generalization ability and the feature learning ability of the deep convolutiona...
High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conv...
OBJECTIVE: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) i...
Significant successes in machine learning approaches to image analysis for various applications have...