Did you mean: Machine Learning Model for Multiclass Lesion Diagnosis.
The aim of this research is to propose a multiclass machine learning model that detect the lesion diagnosis rather than its type. The used dataset was retrieved from the International Skin Imaging Collaboration datasets archive since it is a benchmark that has thousands of dermoscopic images of different diagnoses.
This research proposes a deep convolutional neural network (CNN)-based multistage and multiclass framework to categorize seven types of skin lesions.
The aim of this research is to propose a multiclass machine learning model that detect the lesion diagnosis rather than its type. The used dataset was retrieved.
People also ask
What is the best machine learning model for classification?
What are the major deep learning techniques for skin cancer detection?
What are the classification of skin cancer lesions?
May 30, 2024 · This paper proposes a computerized method for multiclass lesion classification using a fusion of optimal deep-learning model features.
In this study, we propose a weighted average ensemble learning-based model to classify seven types of skin lesions. We used five deep neural network models, ...
We propose a fully automated approach for multiclass skin lesion segmentation and classification by using the most discriminant deep features.
Sep 26, 2023 · In this work, we proposed a deep-learning architecture for classifying multiclass skin cancer and melanoma detection.
Oct 28, 2022 · We developed a fully automated approach for detecting and classifying skin lesions using Machine Learning and customized Convolutional Neural ...
This work presented a new framework for skin lesion recognition using data augmentation, deep learning, and explainable artificial intelligence.
In this work, a unified CAD model is proposed based on a deep learning framework for skin lesion segmentation and classification.