AIMC Topic: Melanoma

Clear Filters Showing 151 to 160 of 348 articles

Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features.

Computational and mathematical methods in medicine May 28, 2022
The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into o...
Deep Learning Skin Neoplasms Dermoscopy Nevus Humans Nevus, Pigmented Melanoma
View on PubMed DOI

Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-FDG PET/CT using an interpretable deep learning approach.

Computer methods and programs in biomedicine May 22, 2022
BACKGROUND AND OBJECTIVE: In oncology, 18-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) / computed tomography (CT) is widely used to identify and analyse metabolically-active tumours. The combination of the high sensitivity and specif...
Skin Neoplasms Deep Learning Computers Melanoma Humans Melanoma, Cutaneous Malignant Positron-Emission Tomography Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Radiopharmaceuticals
View on PubMed DOI

Beyond the : Radiomics Meets Machine Learning to Improve Outcome Prediction.

AJR. American journal of roentgenology Mar 30, 2022
Image Processing, Computer-Assisted Immunotherapy Humans Prognosis Melanoma Machine Learning
View on PubMed DOI

Efficacy of a Deep Learning Convolutional Neural Network System for Melanoma Diagnosis in a Hospital Population.

International journal of environmental research and public health Mar 24, 2022
(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, specificity, and accuracy of the quantusSKIN system, a new clinical tool based on deep learning, to distinguish between benign skin lesions and melanoma i...
Skin Diseases Nevus Hospitals Deep Learning Retrospective Studies Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer
View on PubMed DOI

Deep Learning-Based Classification for Melanoma Detection Using XceptionNet.

Journal of healthcare engineering Mar 22, 2022
Skin cancer is one of the most common types of cancer in the world, accounting for at least 40% of all cancers. Melanoma is considered as the 19th most commonly occurring cancer among the other cancers in the human society, such that about 300,000 ne...
Dermoscopy Deep Learning Melanoma Skin Neoplasms Humans Image Processing, Computer-Assisted
View on PubMed DOI

Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.

Scientific reports Mar 10, 2022
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rat...
Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer Deep Learning Skin Diseases
View on PubMed DOI

A Cloud Approach for Melanoma Detection Based on Deep Learning Networks.

IEEE journal of biomedical and health informatics Mar 7, 2022
In the era of digitized images, the goal is to extract information from them and create new knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning. This enables the use of images for early diagnosis and subsequent treatmen...
Humans Machine Learning Deep Learning Neural Networks, Computer Melanoma
View on PubMed DOI

Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications.

Pigment cell & melanoma research Feb 4, 2022
Melanoma detection, prognosis, and treatment represent challenging and complex areas of cutaneous oncology with considerable impact on patient outcomes and healthcare economics. Artificial intelligence (AI) applications in these tasks are rapidly dev...
Melanoma Neural Networks, Computer Artificial Intelligence Humans
View on PubMed DOI

Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas.

The Journal of investigative dermatology Jan 12, 2022
Retrospective Studies Melanoma Skin Neoplasms Deep Learning Humans Melanoma, Cutaneous Malignant
View on PubMed DOI

New Trends in Melanoma Detection Using Neural Networks: A Systematic Review.

Sensors (Basel, Switzerland) Jan 10, 2022
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the ...
Deep Learning Melanoma Skin Neoplasms Neural Networks, Computer Artificial Intelligence Humans
View on PubMed DOI
Popular Topics
Recent Journals