MobileNet-V2: An Enhanced Skin Disease Classification by Attention and Multi-Scale Features

Inthiyaz S, Altahan BR, Ahammad SH, Rajesh V, Kalangi RR, Smirani LK, Hossain MA, Rashed ANZ: Skin disease detection using deep learning. Advances in Engineering Software 175:103361, 2023.

Article  Google Scholar 

Cai G, Zhu Y, Wu Y, Jiang X, Ye J, Yang D: A multimodal transformer to fuse images and metadata for skin disease classification. The Visual Computer 39(7):2781-2793, 2023.

Article  Google Scholar 

Khan MA, Sharif M, Akram T, Damaševičius R, Maskeliūnas R: Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization. Diagnostics 11(5):811, 2021.

Article  PubMed  PubMed Central  Google Scholar 

Senan EM, Jadhav ME, Kadam A: Classification of PH2 images for early detection of skin diseases. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1–7). IEEE, 2021 April.

Kassem MA, Hosny KM, Damaševičius R, Eltoukhy MM: Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review. Diagnostics 11(8):1390, 2021.

Article  PubMed  PubMed Central  Google Scholar 

Kshirsagar PR, Manoharan H, Shitharth S, Alshareef AM, Albishry N, Balachandran PK: Deep learning approaches for prognosis of automated skin disease. Life 12(3):426, 2022.

Article  PubMed  PubMed Central  Google Scholar 

Li H, Pan Y, Zhao J, Zhang L: Skin disease diagnosis with deep learning: A review. Neurocomputing 464:364-393, 2021.

Article  Google Scholar 

Bhatt H, Shah V, Shah K, Shah R, Shah M: State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review. Intelligent Medicine 3(03):180-190, 2023.

Article  Google Scholar 

Glorindal G, Mozhiselvi SA, Kumar TA, Kumaran K, Katema PC, Kandimba T: A Simplified Approach for Melanoma Skin Disease Identification. In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1–5). IEEE, 2021 July.

Zhang B, Zhou X, Luo Y, Zhang H, Yang H, Ma J, Ma L: Opportunities and challenges: Classification of skin disease based on deep learning. Chinese Journal of Mechanical Engineering 34(1):1-14, 2021.

Article  CAS  Google Scholar 

Patel S, Wang JV, Motaparthi K, Lee JB: Artificial intelligence in dermatology for the clinician. Clinics in dermatology 39(4):667-672, 2021.

Article  PubMed  Google Scholar 

Muhaba KA, Dese K, Aga TM, Zewdu FT, Simegn GL: Automatic skin disease diagnosis using deep learning from clinical image and patient information. Skin Health and Disease 2(1):e81, 2022.

Article  CAS  PubMed  Google Scholar 

Chatterjee S, Dey D, Munshi S, Gorai S: Dermatological expert system implementing the ABCD rule of dermoscopy for skin disease identification. Expert Systems with Applications 167:114204, 2021.

Article  Google Scholar 

Yang Y, Wang J, Xie F, Liu J, Shu C, Wang Y, Zheng Y, Zhang H: A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists. Computers in Biology and Medicine 139:104924, 2021.

Article  PubMed  Google Scholar 

Hameed N, Shabut AM, Ghosh MK, Hossain MA: Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques. Expert Systems with Applications 141:112961, 2020.

Article  Google Scholar 

Raju DN, Shanmugasundaram H, Sasikumar R: Fuzzy segmentation and black widow–based optimal SVM for skin disease classification. Medical & biological engineering & computing 59(10):2019-2035, 2021.

Article  Google Scholar 

Ahammed M, Al Mamun M, Uddin, MS: A machine learning approach for skin disease detection and classification using image segmentation. Healthcare Analytics 2:100122, 2022.

Article  Google Scholar 

Hatem MQ: Skin lesion classification system using a K-nearest neighbor algorithm. Visual Computing for Industry, Biomedicine, and Art 5(1):1-10, 2022.

Article  Google Scholar 

Alotaibi AS: Hybrid model based on ReliefF algorithm and K-nearest neighbor for erythemato-squamous diseases forecasting. Arabian Journal for Science and Engineering 47(2):1299-1307, 2022.

Article  CAS  Google Scholar 

Allugunti VR: A machine learning model for skin disease classification using convolution neural network. International Journal of Computing, Programming and Database Management 3(1):141-147, 2022.

Article  Google Scholar 

Srinivasu PN, SivaSai JG, Ijaz MF, Bhoi AK, Kim W, Kang JJ: Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM Sensors 21(8):2852, 2021.

Ahmad B, Usama M, Huang CM, Hwang K, Hossain MS, Muhammad G: Discriminative feature learning for skin disease classification using deep convolutional neural network. IEEE Access 8:39025-39033, 2020.

Article  Google Scholar 

Karthik R, Vaichole TS, Kulkarni SK, Yadav O, Khan F: Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification. Biomedical Signal Processing and Control 73:103406, 2022.

Article  Google Scholar 

Shetty B, Fernandes R, Rodrigues AP, Chengoden R, Bhattacharya S, Lakshmanna K: Skin lesion classification of dermoscopic images using machine learning and convolutional neural network. Scientific Reports 12(1):18134, 2022.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ali MS, Miah MS, Haque J, Rahman MM, Islam MK: An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models. Machine Learning with Applications 5:100036, 2021.

Article  Google Scholar 

Hosny KM, Kassem MA, Fouad MM: Classification of skin lesions into seven classes using transfer learning with AlexNet. Journal of digital imaging 33:1325-1334, 2020.

Article  PubMed  PubMed Central  Google Scholar 

Anand V, Gupta S, Altameem A, Nayak SR, Poonia RC, Saudagar AKJ: An enhanced transfer learning based classification for diagnosis of skin cancer. Diagnostics 12(7):1628, 2022.

Article  PubMed  PubMed Central  Google Scholar 

Mahbod A, Schaefer G, Wang C, Dorffner G, Ecker R, Ellinger I: Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification. Computer methods and programs in biomedicine 193:105475, 2020.

Article  PubMed  Google Scholar 

Khan GZ, Ullah I: Efficient technique for monkeypox skin disease classification with clinical data using pre-trained models. Journal of Innovative Image Processing 5(2):192-213, 2023.

Article  Google Scholar 

Bajwa MN, Muta K, Malik MI, Siddiqui SA, Braun SA, Homey B, Dengel A, Ahmed S: Computer-aided diagnosis of skin diseases using deep neural networks. Applied Sciences 10(7):2488, 2020.

Article  CAS  Google Scholar 

Elashiri MA, Rajesh A, Pandey SN. Shukla SK, Urooj S: Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory. Biomedical Signal Processing and Control 76:103729, 2022.

Article  Google Scholar 

Gomathi E, Jayasheela M, Thamarai M, Geetha M: Skin cancer detection using dual optimization based deep learning network. Biomedical Signal Processing and Control 84:104968, 2023.

Article  Google Scholar 

Mohapatra S, Abhishek NVS, Bardhan D, Ghosh AA, Mohanty S: Comparison of Mobilenet and Resnet CNN architectures in the CNN‐Based skin cancer classifier model. machine learning for healthcare applications 169–186, 2021.

Singh G, Guleria K, Sharma S: DeepFungusDet: MobileNetV3 Model in Medical Imaging for Fungal Disease Detection. In 2024 3rd International Conference for Innovation in Technology (INOCON) (pp. 1–6). IEEE, 2024 March.

Hartanto CA, Wibowo A: Development of mobile skin cancer detection using faster R-CNN and MobileNet v2 model. In 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE) (pp. 58–63). IEEE, 2020 September.

Sharma S, Guleria K, Kumar S, Tiwari S: Deep learning based model for detection of vitiligo skin disease using pre-trained Inception V3. International Journal of Mathematical, Engineering and Management Sciences 8(5):1024, 2023.

Article  Google Scholar 

Sadik R, Majumder A, Biswas AA, Ahammad B, Rahman MM: An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis. Healthcare Analytics 3:100143, 2023.

Article  Google Scholar 

Hammad M, Pławiak P, ElAffendi M, El-Latif AAA, Latif AAA: Enhanced deep learning approach for accurate eczema and psoriasis skin detection. Sensors 23(16):7295, 2023.

Article  PubMed  PubMed Central  Google Scholar 

Anand V, Gupta S, Koundal D, Singh K: Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images. Expert Systems with Applications 213:119230, 2023.

Article  Google Scholar 

Josphineleela R, Raja Rao PBV, Shaikh A, Sudhakar K: A multi-stage faster RCNN-based iSPLInception for skin disease classification using novel optimization. Journal of Digital Imaging 36(5):2210-2226, 2023.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Abbas M, Arslan M, Bhatty RA, Yousaf F, Khan AA, Rafay A: Enhanced Skin Disease Diagnosis through Convolutional Neural Networks and Data Augmentation Techniques. Journal of Computing & Biomedical Informatics 7(01):87-106, 2024.

Google Scholar 

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