Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Abstract Major underlying health issues can be indicated by even minor nail infections. Subungual Melanoma is one of the most severe kinds since it is identified at a much later stage than other conditions. The purpose of this research is to offer novel deep-learning algorithms that target the auton...

Full description

Saved in:
Bibliographic Details
Main Authors: Gunjan Shandilya, Sheifali Gupta, Salil Bharany, Ateeq Ur Rehman, Upinder Kaur, Hafizan Mat Som, Seada Hussen
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Convolutional neural network (CNN)
Nail classification
Deep learning (D.L)
Nail diseases
Hybrid model
Capsule network (CapsNet)
Online Access:https://doi.org/10.1186/s12911-024-02840-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12911-024-02840-5

Similar Items