Latest AI and machine learning research in other cancers for healthcare professionals.
Micro/nanorobotic systems capable of targeted transporting and releasing hold considerable promise f...
PURPOSE: Accurate tumor segmentation is a requirement for magnetic resonance (MR)-based radiotherapy...
Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains ...
Fuzzy inference systems have been frequently used in medical diagnosis for managing uncertainty sour...
Few studies have investigated palliative and end-of-life care processes among young adults (YAs), ag...
Pathological diagnosis plays an important role in the diagnosis and treatment of hepatocellular carc...
PURPOSE: New-onset pituitary gland lesions are observed in up to 18% of cancer patients undergoing t...
The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer...
Cancer has been one of the most threatening diseases to human health. There have been many efforts d...
Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnosti...
With this review, we aimed to provide a synopsis of recently proposed applications of machine learni...
Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver ca...
In the paper, we propose a new deep learning-based method for segmenting nasopharyngeal carcinoma (N...
Early diagnosis of malignant skin lesions is critical for prompt treatment and a clinical prognosis ...
Age-related macular degeneration (AMD) affects millions of people and is a leading cause of blindnes...
BACKGROUND: Breast ductal carcinoma in situ (DCIS) represent approximately 20% of screen-detected br...
PURPOSE: Increased use of deep convolutional neural networks (DCNNs) in medical imaging diagnosis re...
In medical image processing, Brain tumor segmentation plays an important role. Early detection of th...
We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neo...
BACKGROUND: We attempted to train and validate a model of deep learning for the preoperative predict...
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of ...