JOURNAL ARTICLE

Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification

R. KarthikTejas Sunil VaicholeSanika KulkarniOjaswa YadavFaiz Khan

Year: 2021 Journal:   Biomedical Signal Processing and Control Vol: 73 Pages: 103406-103406   Publisher: Elsevier BV
Keywords:
Convolutional neural network Computer science Block (permutation group theory) Artificial intelligence Human skin Convolution (computer science) Pattern recognition (psychology) Skin lesion Channel (broadcasting) Dermatology Artificial neural network Medicine Biology Telecommunications Mathematics

Metrics

126
Cited By
8.91
FWCI (Field Weighted Citation Impact)
74
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cutaneous Melanoma Detection and Management
Health Sciences →  Medicine →  Oncology
melanin and skin pigmentation
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Cell Biology
Advancements in Transdermal Drug Delivery
Life Sciences →  Pharmacology, Toxicology and Pharmaceutics →  Pharmaceutical Science

Related Documents

BOOK-CHAPTER

Efficient Channel Attention Based Convolution Neural Network for Skin Disease Classification

C. KalimuthuS. MuthukumaranV. Angel Petricia

IFIP advances in information and communication technology Year: 2025 Pages: 361-370
BOOK-CHAPTER

Skin Disease Classification Based on Convolutional Neural Network

Feiyu YaoNa Deng

Lecture notes on data engineering and communications technologies Year: 2023 Pages: 101-114
JOURNAL ARTICLE

Mammogram classification based on a novel convolutional neural network with efficient channel attention

Qiong LouYingying LiYaguan QianFang LuJinlian Ma

Journal:   Computers in Biology and Medicine Year: 2022 Vol: 150 Pages: 106082-106082
JOURNAL ARTICLE

Skin Disease Classification using Convolutional Neural Network

S. GomathiS. N. V. NishanthS Nikhitha

Journal:   2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) Year: 2022 Vol: 1 Pages: 177-182
© 2026 ScienceGate Book Chapters — All rights reserved.