RETRACTION: Multiclass skin lesion classification using deep learning networks optimal information fusion

被引：0

作者：

Khan, Muhammad Attique ^{[1
]}

Hamza, Ameer ^{[1
]}

Shabaz, Mohammad ^{[2
]}

Kadry, Seifeine ^{[3
]}

Rubab, Saddaf ^{[4
]}

Bilal, Muhammad Abdullah ^{[5
]}

Akbar, Muhammad Naeem ^{[6
]}

Kesavan, Suresh Manic ^{[7
]}

机构：

[1] HITEC Univ, Dept Comp Sci, Taxila, Pakistan

[2] Model Inst Engn & Technol, Jammu, J&k, India

[3] Noroff Univ Coll, Dept Appl Data Sci, Oslo, Norway

[4] Univ Sharjah, Coll Comp & Informat, Dept Comp Engn, Sharjah 27272, U Arab Emirates

[5] NUST, SEECS, Dept CS, Islamabad, Pakistan

[6] Natl Univ Sci & Technol NUST, Islamabad 46000, Pakistan

[7] Natl Univ Sci & Technol, Dept Elect & Commun Engn, Muscat, Oman

来源：

DISCOVER APPLIED SCIENCES | 2025年 / 7卷 / 01期

关键词：

D O I：

10.1007/s42452-025-06466-8

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

引用

页数：1

共 50 条

[31] A customized deep learning framework for skin lesion classification using dermoscopic images
Sahoo, Sandhya Rani
Dash, Ratnakar
Mohapatra, Ramesh Kumar
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2023, 34 (05)
[32] Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models
Kausar, Nabeela
Hameed, Abdul
Sattar, Mohsin
Ashraf, Ramiza
Imran, Ali Shariq
ul Abidin, Muhammad Zain
Ali, Ammara
APPLIED SCIENCES-BASEL, 2021, 11 (22):
[33] Skin lesion classification using transfer learning
Nivedhitha, G.
Kalpana, P.
Sidthik, A. Sheik
Rani, V. Anusha
Singh, Ajith B.
Rajagopal, R.
Soft Computing, 2024, 28 (20) : 12337 - 12343
[34] Multiclass skin lesion classification in dermoscopic images using swin transformer model
Ayas, Selen
NEURAL COMPUTING & APPLICATIONS, 2023, 35 (09): : 6713 - 6722
[35] Multiclass skin lesion classification in dermoscopic images using swin transformer model
Selen Ayas
Neural Computing and Applications, 2023, 35 : 6713 - 6722
[36] Skin lesion classification with ensembles of deep convolutional neural networks
Harangi, Balazs
JOURNAL OF BIOMEDICAL INFORMATICS, 2018, 86 : 25 - 32
[37] Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification
Van Molle, Pieter
Verbelen, Tim
De Boom, Cedric
Vankeirsbilck, Bert
De Vylder, Jonas
Diricx, Bart
Kimpe, Tom
Simoens, Pieter
Dhoedt, Bart
UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING AND CLINICAL IMAGE-BASED PROCEDURES, 2019, 11840 : 52 - 61
[38] DEEPMOLE: DEEP NEURAL NETWORKS FOR SKIN MOLE LESION CLASSIFICATION
Pomponiu, V.
Nejati, H.
Cheung, N. -M.
2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 2623 - 2627
[39] Skin Lesion Diagnosis Using Deep Learning
Muresan, Horea-Bogdan
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2019), 2019, : 499 - 506
[40] Multimodal Multi-tasking for Skin Lesion Classification Using Deep Neural Networks
Carvalho, Rafaela
Pedrosa, Joao
Nedelcu, Tudor
ADVANCES IN VISUAL COMPUTING (ISVC 2021), PT I, 2021, 13017 : 27 - 38

← 1 2 3 4 5 →