Cargando…
Skin Lesion Analysis for Melanoma Detection Using the Novel Deep Learning Model Fuzzy GC-SCNN
Melanoma is easily detectable by visual examination since it occurs on the skin’s surface. In melanomas, which are the most severe types of skin cancer, the cells that make melanin are affected. However, the lack of expert opinion increases the processing time and cost of computer-aided skin cancer...
Autores principales: | Bhimavarapu, Usharani, Battineni, Gopi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141659/ https://www.ncbi.nlm.nih.gov/pubmed/35628098 http://dx.doi.org/10.3390/healthcare10050962 |
Ejemplares similares
-
Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function
por: Bhimavarapu, Usharani, et al.
Publicado: (2022) -
Automatic Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Improved Discrete Particle Swarm Optimization
por: Bhimavarapu, Usharani, et al.
Publicado: (2022) -
Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network
por: Bhimavarapu, Usharani, et al.
Publicado: (2023) -
Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease
por: Chintalapudi, Nalini, et al.
Publicado: (2022) -
Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models
por: Chintalapudi, Nalini, et al.
Publicado: (2021)