Dermatology

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.

Skin lesion border irregularity is considered an important clinical feature for the early diagnosis ...

Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet.

BACKGROUND: Melanoma is a type of superficial tumor. As advanced melanoma has a poor prognosis, earl...

Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.

Metastasis development represents an important threat for melanoma patients, even when diagnosed at ...

BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.

We propose a novel BIRADS-SSDL network that integrates clinically-approved breast lesion characteris...

Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.

A pathological evaluation is one of the most important methods for the diagnosis of malignant lympho...

Breast ultrasound region of interest detection and lesion localisation.

In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a region o...

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine.

Skin is the outermost and largest organ of the human body that protects us from the external agents....

A deep learning system for differential diagnosis of skin diseases.

Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are s...

Artificial Intelligence in Multiphoton Tomography: Atopic Dermatitis Diagnosis.

The diagnostic possibilities of multiphoton tomography (MPT) in dermatology have already been demons...

Acute and sub-acute stroke lesion segmentation from multimodal MRI.

BACKGROUND AND OBJECTIVE: Acute stroke lesion segmentation tasks are of great clinical interest as t...

Technological advances for the detection of melanoma: Advances in diagnostic techniques.

Managing the balance between accurately identifying early stage melanomas while avoiding obtaining b...

Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

The objective of this study was to assess the impact of artificial intelligence (AI)-based decision...

Submandibular gland excision: From external surgery to robotic intraoral and extraoral approaches.

Submandibular gland excision is generally performed through a transcervical approach, a safe procedu...

Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning...

New Auxiliary Function with Properties in Nonsmooth Global Optimization for Melanoma Skin Cancer Segmentation.

In this paper, an algorithm is introduced to solve the global optimization problem for melanoma skin...

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.

Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning a...

Addressing class imbalance in deep learning for small lesion detection on medical images.

Deep learning methods utilizing Convolutional Neural Networks (CNNs) have led to dramatic advances i...

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

Although deep learning algorithms have demonstrated expert-level performance, previous efforts were ...

[The future of AI in dermatology and of dermatology with AI].

What is AI? Applications of artificial intelligence to dermatology.

In the past, the skills required to make an accurate dermatological diagnosis have required exposure...

Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.

The main purpose of the study was to develop a high accuracy system able to diagnose skin lesions us...