Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Subcategories: Atopy Psoriasis
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[Artificial Intelligence in Endoscopy: Deep Neural Nets for Endoscopic Computer Vision - Methods & Perspectives].

Artificial neural networks, as a specific approach towards artificial intelligence (AI), can open up...

Classification of Skin Disease using Ensemble Data Mining Techniques.

Objective: Skin diseases are a major global health problem associated with high number of people. Wi...

Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.

The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second mos...

Data augmentation in dermatology image recognition using machine learning.

BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic derm...

Pathologist-level classification of histopathological melanoma images with deep neural networks.

BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue...

Higher SNR PET image prediction using a deep learning model and MRI image.

PET images often suffer poor signal-to-noise ratio (SNR). Our objective is to improve the SNR of PET...

The role of AI classifiers in skin cancer images.

BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common p...

Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging ...

Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.

BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Derma...

Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope.

BACKGROUND: Skin cancer (SC), especially melanoma, is a growing public health burden. Experimental s...

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.

OBJECTIVE: This paper addresses two key problems of skin lesion classification. The first problem is...

Efficient learning from big data for cancer risk modeling: A case study with melanoma.

BACKGROUND: Building cancer risk models from real-world data requires overcoming challenges in data ...

A comparative study of deep learning architectures on melanoma detection.

Melanoma is the most aggressive type of skin cancer, which significantly reduces the life expectancy...

Automated Stoichiometry Analysis of Single-Molecule Fluorescence Imaging Traces via Deep Learning.

The stoichiometry of protein complexes is precisely regulated in cells and is fundamental to protein...

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task.

BACKGROUND: Recent studies have successfully demonstrated the use of deep-learning algorithms for de...

Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images.

Age-related macular degeneration (AMD) is the main cause of irreversible blindness among the elderly...

A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.

PURPOSE: This work aims to develop a new framework of image quality assessment using deep learning-b...

Binary tree-like network with two-path Fusion Attention Feature for cervical cell nucleus segmentation.

Early detection of cervical lesion is of great significance in reducing mortality from cervical canc...

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the ...

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.

Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast ...

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