Dermatology

Relative Attribute SVM+ Learning for Age Estimation.

When estimating age, human experts can provide privileged information that encodes the facial attrib...

Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.

BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. I...

Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector ...

IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.

Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...

A potential anti-inflammation activity and depigmentation effect of Lespedeza bicolor extract and its fractions.

Postinflammatory hyperpigmentation (PIH) is an acquire hypermelanosis after cutaneous inflammation a...

Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

The present investigation deals with the prediction of the performance of simultaneous anaerobic sul...

Automatic abstraction of imaging observations with their characteristics from mammography reports.

BACKGROUND: Radiology reports are usually narrative, unstructured text, a format which hinders the a...

Four-class classification of skin lesions with task decomposition strategy.

This paper proposes a new computer-aided method for the skin lesion classification applicable to bot...

Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.

Conventional mass-univariate analyses have been previously used to test for group differences in neu...

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...

Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.

Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine l...

The Translational Dermatology Initiative: Aiming at a New Disease Classification of Inflammatory Skin Diseases.

Although precision medicine is at least partially realized in dermato-oncology, the field of dermato...

The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.

Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential...

Scalable emulation of protein equilibrium ensembles with generative deep learning.

Following the sequence and structure revolutions, predicting functionally relevant protein structure...

Artificial Intelligence Algorithm Predicts Response to Immune Checkpoint Inhibitors.

PURPOSE: Cancer treatment has been revolutionized by immune checkpoint inhibitors (ICI). However, a ...

Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

This study presents the development and evaluation of an annotation schema and rule-based natural la...

SmartProg-MEL-integrating dermatopathology and explainable artificial intelligence (AI) to improve prognostic accuracy and risk stratification in cutaneous melanoma.

Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.

Artificial intelligence (AI) has profoundly impacted various medical fields, including dermatology, ...

ThreeF-Net: Fine-grained feature fusion network for breast ultrasound image segmentation.

Convolutional Neural Networks (CNNs) have achieved remarkable success in breast ultrasound image seg...

Nomograms versus artificial intelligence platforms: which one can better predict sentinel node positivity in melanoma patients?

Nomograms are commonly used in oncology to assist clinicians in individualized decision-making proce...

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...