Cover Image

Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study

Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registry data, could perform in predicting cutaneous inva...

Full description

Saved in:

Bibliographic Details
Main Authors:	Martin Gillstedt (Author), Sam Polesie (Author)
Format:	Book
Published:	Medical Journals Sweden, 2022-07-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi?
by: Martin Gillstedt, et al.
Published: (2023)

Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network
by: Martin Gillstedt, et al.
Published: (2022)

Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis
by: Krti Tallam, et al.
Published: (2021)

Convolutional neural network models for cancer type prediction based on gene expression
by: Milad Mostavi, et al.
Published: (2020)

Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
by: Md. Mahbubur Rahman, et al.
Published: (2023)

Predicting Successes and Failures of Clinical Trials With Outer Product-Based Convolutional Neural Network
by: Sangwoo Seo, et al.
Published: (2021)

CAT-Site: Predicting Protein Binding Sites Using a Convolutional Neural Network
by: Žan Hafner Petrovski, et al.
Published: (2022)

Alzheimer's disease diagnosis via 5-layer Convolutional Neural Network and Data Augmentation
by: Shuangshuang Gao
Published: (2021)

The recognition of speech defects using convolutional neural network
by: Olha Pronina, et al.
Published: (2023)

Facial wrinkle categorization using Convolutional Neural Network
by: Čedomir Vasić
Published: (2024)

The application of convolutional neural network to stem cell biology
by: Dai Kusumoto, et al.
Published: (2019)

Classifying Routine Clinical Electroencephalograms With Multivariate Iterative Filtering and Convolutional Neural Networks
by: Vardhan Paliwal, et al.
Published: (2024)

A Siamese Convolutional Neural Network for Identifying Mild Traumatic Brain Injury and Predicting Recovery
by: Fatemeh Koochaki, et al.
Published: (2024)

Hybrid_DBP: Prediction of DNA-binding proteins using hybrid features and convolutional neural networks
by: Shaoyou Yu, et al.
Published: (2022)

Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
by: Julia Höhn, et al.
Published: (2021)

Convolutional neural network for automated tooth segmentation on intraoral scans
by: Xiaotong Wang, et al.
Published: (2024)

Methotrexate Exposure and Risk of Cutaneous Malignant Melanoma: No Evidence of a Dose-response Relationship
by: Sam Polesie, et al.
Published: (2018)

Dermoscopic Features of Melanomas in Organ Transplant Recipients
by: Sam Polesie, et al.
Published: (2019)

Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation
by: Wuxiang Shi, et al.
Published: (2021)

MODEL IDENTIFIKASI JENIS NAGHAM ALQURAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
by: Velia Rahmadi,
Published: (2020)

PENERJEMAHAN BAHASA DAERAH BERBASIS GAMBAR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
by: Donni S. Silalahi,
Published: (2020)

Six-layer Optimized Convolutional Neural Network for Lip Language Identification
by: Yifei Qiao, et al.
Published: (2021)

Implementation of OCR using Convolutional Neural Network (CNN): A Survey
by: Ahmed Alkaddo, et al.
Published: (2022)

The Use of Deep Convolutional Neural Networks in Biomedical Imaging: A Review
by: Yu-Cheng Chen, et al.
Published: (2019)

Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
by: Eleni Fotiadou, et al.
Published: (2020)

Three-Stream Convolutional Neural Network for Depression Detection With Ocular Imaging
by: Minqiang Yang, et al.
Published: (2023)

Scalp EEG-Based Pain Detection Using Convolutional Neural Network
by: Duo Chen, et al.
Published: (2022)

An Attention-Based Wavelet Convolution Neural Network for Epilepsy EEG Classification
by: Qi Xin, et al.
Published: (2022)

Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
by: Joonmyeong Choi, et al.
Published: (2020)

Lesion-Based Convolutional Neural Network in Diagnosis of Early Gastric Cancer
by: Hong Jin Yoon, et al.
Published: (2020)

Explainable convolutional neural networks for assessing head and neck cancer histopathology
by: Marion Dörrich, et al.
Published: (2023)

Classification of mitotic figures with convolutional neural networks and seeded blob features
by: Christopher D Malon, et al.
Published: (2013)

Classifications of multispectral colorectal cancer tissues using convolution neural network
by: Hawraa Haj-Hassan, et al.
Published: (2017)

Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG
by: Xiaoshuang Wang, et al.
Published: (2023)

Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study
by: Panchun Chang, et al.
Published: (2021)

Performance of a Machine Learning Algorithm on Lesions with a High Preoperative Suspicion of Invasive Melanoma
by: Filippos Giannopoulos, et al.
Published: (2024)

IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DALAM PENGENALAN EKSPRESI WAJAH MANUSIA
by: Puspita Cahyani Putri,
Published: (2020)

Recognition system for fruit classification based on 8-layer convolutional neural network
by: Jia-Ji Wang
Published: (2022)

Advancements in English listening education: Chat GPT and convolutional neural network integration
by: Runmei Xing
Published: (2023)

Tea category classification via 5-layer customized convolutional neural network
by: Xiang Li, et al.
Published: (2021)