Dermatology

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

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MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans.

The localization and segmentation of the novel coronavirus disease of 2019 (COVID-19) lesions from c...

Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma.

This paper describes the process of developing a classification model for the effective detection of...

Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy.

Treatment of hepatocellular carcinoma (HCC) with Y90 radioembolization segmentectomy (Y90-RE) demons...

Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.

BACKGROUND: Colposcopy is indispensable for the diagnosis of cervical lesions. However, its diagnosi...

FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses.

Rosacea is a chronic inflammatory skin disorder that causes visible blood vessels and redness on the...

An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.

Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural inj...

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients.

PURPOSE: Multiple medical imaging modalities are used for clinical follow-up ischemic stroke analysi...

Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images.

Deep learning methods have shown outstanding potential in dermatology for skin lesion detection and ...

Artificial intelligence in diagnostic ultrasonography.

Artificial intelligence (AI) continues to change paradigms in the field of medicine with new applica...

A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection.

Echocardiography is the first-line diagnostic technique for heart diseases. Although artificial inte...

Endoscopic surgery robot that facilitates insertion of the curved colon and ensures positional stability against external forces: K-COLON.

BACKGROUND: Although various endoscopic surgery robots developed in previous studies are versatile a...

Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance Loss.

Recently, deep neural network-based methods have shown promising advantages in accurately recognizin...

Deep learning as a new tool in the diagnosis of mycosis fungoides.

Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the gre...

The Role of a Deep Learning-Based Computer-Aided Diagnosis System and Elastography in Reducing Unnecessary Breast Lesion Biopsies.

OBJECTIVES: Ultrasound examination has inter-observer and intra-observer variability and a high fals...

Artificial intelligence in Dermatopathology.

INTRODUCTION: Ever evolving research in medical field has reached an exciting stage with advent of n...

A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.

Multiple Sclerosis (MS) is an autoimmune disease that causes brain and spinal cord lesions, which ma...

Automatic lesion detection and segmentation in F-flutemetamol positron emission tomography images using deep learning.

BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, c...

Robot-assisted in situ bioprinting of gelatin methacrylate hydrogels with stem cells induces hair follicle-inclusive skin regeneration.

Large skin defects caused by accidents or disease can cause fluid loss, water and electrolyte disord...

An open-access breast lesion ultrasound image databaseā€: Applicable in artificial intelligence studies.

Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early de...

A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging.

Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Im...

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