Cargando…
An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification
BACKGROUND: Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis. The accustomed diagnosis methods are costly and cumbersome due to the involvement of experienced exp...
Autores principales: | Khan, M. Attique, Akram, Tallha, Sharif, Muhammad, Shahzad, Aamir, Aurangzeb, Khursheed, Alhussein, Musaed, Haider, Syed Irtaza, Altamrah, Abdualziz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989438/ https://www.ncbi.nlm.nih.gov/pubmed/29871593 http://dx.doi.org/10.1186/s12885-018-4465-8 |
Ejemplares similares
-
Joint Placement and Device Association of UAV Base Stations in IoT Networks
por: Ahmed, Ashfaq, et al.
Publicado: (2019) -
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021) -
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
por: Ullah, Irshad, et al.
Publicado: (2023) -
A Novel Heteromorphous Convolutional Neural Network for Automated Assessment of Tumors in Colon and Lung Histopathology Images
por: Iqbal, Saeed, et al.
Publicado: (2023) -
Towards Void Hole Alleviation by Exploiting the Energy Efficient Path and by Providing the Interference-Free Proactive Routing Protocols in IoT Enabled Underwater WSNs
por: Awais, Muhammad, et al.
Publicado: (2019)