Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Multi-Class Dermatological Lesion Identification and Melanoma Screening Using Lightweight MobileNet Convolutional Models
Multi-Class Dermatological Lesion Identification and Melanoma Screening Using Lightweight MobileNet Convolutional Models
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Yeadluri Prasanthi, P.L.Adithya, S.Sathvik, M.Shanmukha, MD.Ameenulla
Format:
Recurso digital
Published:
Zenodo
2026
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
MOAT: MobileNet‐Optimized Attention Transfer for Robust and Scalable Dermatology Image Classification
by: Pradeep Radhakrishnan, et al.
Published: (2025)
Classification of Sign-Language Using MobileNet - Deep Learning
by: Tanseem N. Abu-Jamie Prof. Dr. Samy S. Abu-Naser
Published: (2026)
PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
by: Ngwe, Jia Le, et al.
Published: (2023)
Detection and Localization of Multiple Image Splicing Using MobileNet V1
by: Kadam, Kalyani, et al.
Published: (2021)
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
by: Wang, Hao, et al.
Published: (2024)