Dermatology

Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignan...

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue ...

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...

Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and derm...

A Hybrid Approach for Sub-Acute Ischemic Stroke Lesion Segmentation Using Random Decision Forest and Gravitational Search Algorithm.

BACKGROUND: The sub-acute ischemic stroke is the most basic illnesses reason for death on the planet...

A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in orde...

Using Neural Networks for Diagnosing in Dermatology.

The paper deals with neural networks for decision support in diagnosing in dermatology. There were s...

[A real-world study of paritaprevir/ritonavir-ombitasvir combined with dasabuvir in the treatment of genotype 1b chronic hepatitis C].

To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (...

Serum Concentrations of Interferon Gamma (IFN-γ) in Patients with Psoriasis: Correlation with Clinical Type and Severity of the Disease.

INTRODUCTION: The etiopathogenesis of psoriasis is still unclear but there is evidence that many of ...

[A Surgical Case of AFP-Producing Gastric Cancer Discovered by Rupture of Liver Metastatic Lesion].

A 57-year-old man visited our hospital with right hypochondralgia. Abdominal contrast CT showed a 10...

Machine Learning and Health Care Disparities in Dermatology.

A machine learning approach for somatic mutation discovery.

Variability in the accuracy of somatic mutation detection may affect the discovery of alterations an...

Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment.

INTRODUCTION: The evaluation of Acne using ordinal scales reflects the clinical perception of severi...

Artificial Intelligence as a Third Eye in Lesion Detection by Endoscopy.

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but...

Rethinking Skin Lesion Segmentation in a Convolutional Classifier.

Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis systems powe...

False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, ...

Cutting edge technology in dermatology: virtual reality and artificial intelligence.

Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse dr...

Fractional Carbon Dioxide Laser in Combination with Topical Corticosteroid Application in Resistant Alopecia Areata: A Case Series.

INTRODUCTION: Intradermal steroid injections are used as treatment option in resistant alopecia area...

Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.

BACKGROUND: Dermoscopy imaging has been a routine examination approach for skin lesion diagnosis. Ac...