Latest AI and machine learning research in other cancers for healthcare professionals.
With the rapid development and application of deep learning medical image recognition, natural langu...
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...
To identify protective and risk factors of early postoperative complications after robot-assisted r...
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial...
Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...
With cancer seriously hampering the increasing life expectancy of people, developing an instant diag...
Image fusion can be performed on images either in spatial domain or frequency domain methods. Freque...
BACKGROUND: Allergen immunotherapy (AIT) can induce immune tolerance to allergens by activating mult...
PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of...
OBJECTIVE: Hypoxia presents a salient feature investigated in most solid tumors that holds key roles...
Identifying the lung carcinoma subtype in small biopsy specimens is an important part of determining...
The majority of clinical trials fail due to low efficacy of investigated drugs, often resulting from...
Tumor suppressor genes (TSGs) play critical roles in the cell cycle checkpoints and in modulating g...
BACKGROUND: In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsiste...
We have identified the novel protein GASP-1 (G protein coupled receptor-associated sorting protein 1...
To evaluate the performance of a deep convolutional neural network (DCNN) in detecting local tumor p...
PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-rin...
Immune checkpoint therapies such as PD-1 blockade have vastly improved the treatment of numerous can...
BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometri...
In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal...
Due to the black box model nature of convolutional neural networks, computer-aided diagnosis methods...