Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic derm...
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue...
BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common p...
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging ...
BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Derma...
BACKGROUND: Skin cancer (SC), especially melanoma, is a growing public health burden. Experimental s...
BACKGROUND: Building cancer risk models from real-world data requires overcoming challenges in data ...
Melanoma is the most aggressive type of skin cancer, which significantly reduces the life expectancy...
The stoichiometry of protein complexes is precisely regulated in cells and is fundamental to protein...
BACKGROUND: Recent studies have successfully demonstrated the use of deep-learning algorithms for de...
Early detection of cervical lesion is of great significance in reducing mortality from cervical canc...
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the ...
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast ...
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...
BACKGROUND: Recent studies have demonstrated the use of convolutional neural networks (CNNs) to clas...
It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrins...
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing pr...
BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks t...
PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this con...
Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essent...
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnos...