Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...
Salivary gland neoplasms (SGNs) represent a group of human neoplasms characterized by a remarkable c...
The purpose of this study is to investigate the impact of using morphological information in classif...
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic im...
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worl...
BACKGROUND: Glioma is a highly heterogeneous and poorly immunogenic malignant tumor, with limited ef...
PURPOSE: We propose a tumor tracking framework for 2D cine magnetic resonance imaging (MRI) based on...
An adnexal mass, also known as a pelvic mass, is a growth that develops in or near the uterus, ovari...
BACKGROUND: Renal cell carcinoma (RCC) is a common cancer that varies in clinical behavior. Clear ce...
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting ...
RATIONALE AND OBJECTIVES: The aim of this study is to explore the utility of Inductive Decision Tree...
Relapse and metastasis occur in 30-40% of breast cancer patients, even after targeted treatments lik...
Breast cancer is the most prevalent cancer in women, and early diagnosis of malignant lesions is cru...
RATIONALE AND OBJECTIVES: To investigate the predictive value of a deep learning model based on mult...
BACKGROUND: Gastrointestinal stromal tumors (GISTs) have malignant potential, and treatment varies a...
Glioblastoma multiforme (GBM) is one of the most common and aggressive type of malignant glioma with...
Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progressi...
In endometrial cancer (EC) and colorectal cancer (CRC), in addition to microsatellite instability, t...
BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor; however, its immune microenv...
A bottleneck in the development of new anti-cancer drugs is the recognition of their mode of action ...
There is an urgent need for better biomarkers for the detection of early-stage breast cancer. Utiliz...