Dermatology

Novel strategy for applying hierarchical density-based spatial clustering of applications with noise towards spectroscopic analysis and detection of melanocytic lesions.

Advancements in dermoscopy techniques have elucidated identifiable characteristics of melanoma which...

A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets.

Medical image classification and diagnosis based on machine learning has made significant achievemen...

Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping.

Stomata are adjustable pores on leaf surfaces that regulate the tradeoff of CO2 uptake with water va...

Melanoma Skin Cancer Detection Using Recent Deep Learning Models.

Melanoma is considered as one of the world's deadly cancers. This type of skin cancer will spread to...

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images.

Cancer is a major public health issue and takes the second-highest toll of deaths caused by non-comm...

A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis.

Supervised machine learning methods are usually used to build a custom model for disease diagnosis a...

A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution.

Cervical cancer is the fourth most common cancer in women worldwide. To determine early treatment fo...

A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma.

BACKGROUND: To assess the additive value of dual-energy CT (DECT) over single-energy CT (SECT) to ra...

Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.

Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some o...

Risk of Bias and Error From Data Sets Used for Dermatologic Artificial Intelligence.

Photodynamic Therapy Using Toluidine Blue O (TBO) Dye as a Photosensitizer against .

BACKGROUND: Photodynamic therapy (PDT) is alternative treatment of cutaneous leishmaniasis (CL), and...

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...

Interest in artificial intelligence for the diagnosis of non-melanoma skin cancer: a survey among French general practitioners.

General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...

Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging: An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity.

OBJECTIVES: The aim of this study was to investigate the impact of a deep learning-based superresolu...

ChemGenerator: a web server for generating potential ligands for specific targets.

In drug discovery, one of the most important tasks is to find novel and biologically active molecule...

Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma.

Uveal melanoma (UVM) is the most common primary intraocular human malignancy with a high mortality r...

Real-time deep learning assisted skin layer delineation in dermal optical coherence tomography.

We present deep learning assisted optical coherence tomography (OCT) imaging for quantitative tissue...

A data-driven approach to post-stroke aphasia classification and lesion-based prediction.

Aphasia is an acquired impairment in the production or comprehension of language, typically caused b...

[Deep learning based lesion detection from anterior segment optical coherence tomography images and its application in the diagnosis of keratoconus].

To developed an image analysis system of anterior segment optical coherence tomography (AS-OCT) exa...

Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer.

In recent clinical practice the molecular diagnostics have been significantly empowered and upgraded...

Distributed Skin Lesion Analysis Across Decentralised Data Sources.

Skin cancer has become the most common cancer type. Research has applied image processing and analys...