Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification
Saved in:
Main Authors: | Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737724/?tool=EBI |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.
by: Saleem Mustafa, et al.
Published: (2025-01-01) -
Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet
by: Shengzhou Xu, et al.
Published: (2022-01-01) -
Acute Myeloid Leukemia (AML) Detection Using AlexNet Model
by: Maneela Shaheen, et al.
Published: (2021-01-01) -
Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model
by: QiMing Wang, et al.
Published: (2021-01-01) -
Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images
by: Shadman Q. Salih, et al.
Published: (2020-06-01)