AIMC Topic: Skin Neoplasms

Clear Filters Showing 491 to 500 of 515 articles

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model.

JAMA dermatology Apr 1, 2020
Humans Electronic Health Records Skin Neoplasms Deep Learning
View on PubMed DOI

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model.

JAMA dermatology Apr 1, 2020
Electronic Health Records Humans Skin Neoplasms Deep Learning
View on PubMed DOI

Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.

Current medical imaging Jan 1, 2020
BACKGROUND: Automated intelligent systems for unbiased diagnosis are primary requirement for the pigment lesion analysis. It has gained the attention of researchers in the last few decades. These systems involve multiple phases such as pre-processing...
Image Interpretation, Computer-Assisted Humans Skin Neoplasms Deep Learning Diagnostic Imaging Skin
View on PubMed DOI

Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.

Journal of cancer research and therapeutics Jan 1, 2020
CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.
Melanoma Skin Neoplasms Dermoscopy Humans Algorithms Cluster Analysis Image Processing, Computer-Assisted Support Vector Machine Fuzzy Logic
View on PubMed DOI

Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology Jan 1, 2020
IMPORTANCE: Detection of cutaneous cancer on the face using deep-learning algorithms has been challenging because various anatomic structures create curves and shades that confuse the algorithm and can potentially lead to false-positive results.
Humans Neural Networks, Computer Photography Keratinocytes Datasets as Topic Adult Face Male Middle Aged Carcinoma, Basal Cell Female ROC Curve Skin Neoplasms Image Processing, Computer-Assisted Carcinoma, Squamous Cell Skin Aged
View on PubMed DOI

[Clinical image identification of basal cell carcinoma and pigmented nevi based on convolutional neural network].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Sep 28, 2019
To construct an intelligent assistant diagnosis model based on the clinical images of basal cell carcinoma (BCC) and pigmented nevi in Chinese by using the advanced convolutional neural network (CNN).
 Methods: Based on the Xiangya Medical Big Data P...
Nevus, Pigmented Skin Neoplasms Carcinoma, Basal Cell Area Under Curve Humans Neural Networks, Computer
View on PubMed DOI

Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology Aug 1, 2019
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...
Mucous Membrane Forecasting Treatment Outcome Programmed Cell Death 1 Receptor Humans Melanoma Neutrophils Retrospective Studies L-Lactate Dehydrogenase Lymphocyte Count Neural Networks, Computer Female Age Factors Skin Neoplasms Survival Rate Neoplasms, Unknown Primary Aged Male Uveal Neoplasms Middle Aged
View on PubMed DOI

Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose an approach based on a convolutional neural network to classify skin lesions using the reflectance confocal microscopy (RCM) mosaics. Skin cancers are the most common type of cancers and a correct, early diagnosis significantly lowers both...
Nevus, Pigmented Sensitivity and Specificity Microscopy, Confocal Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Humans Neural Networks, Computer Melanoma
View on PubMed DOI

General audio tagging with ensembling convolutional neural networks and statistical features.

The Journal of the Acoustical Society of America Jun 1, 2019
Audio tagging aims to infer descriptive labels from audio clips and it is challenging due to the limited size of data and noisy labels. The solution to the tagging task is described in this paper. The main contributions include the following: an ense...
Deep Learning Biometry Nerve Net Neural Networks, Computer Humans Skin Neoplasms
View on PubMed DOI

Machine Learning in Medicine.

The New England journal of medicine Apr 4, 2019
Melanoma Medical Records Systems, Computerized Humans Middle Aged Skin Neoplasms Decision Making, Computer-Assisted Machine Learning Workflow Male Medical Informatics
View on PubMed DOI
Popular Topics
Recent Journals