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For: Oliveira RB, Pereira AS, Tavares JMRS. Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation. Comput Methods Programs Biomed 2017;149:43-53. [PMID: 28802329 DOI: 10.1016/j.cmpb.2017.07.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/18/2017] [Accepted: 07/19/2017] [Indexed: 06/07/2023]
Number Cited by Other Article(s)
1
Nishino K. Skin patch based makeup finish assessment technique by deep neural network. Skin Res Technol 2024;30:e13561. [PMID: 38297920 PMCID: PMC10831195 DOI: 10.1111/srt.13561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 02/02/2024]
2
Mehmood A, Gulzar Y, Ilyas QM, Jabbari A, Ahmad M, Iqbal S. SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions. Cancers (Basel) 2023;15:3604. [PMID: 37509267 PMCID: PMC10377736 DOI: 10.3390/cancers15143604] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/05/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023]  Open
3
Integrated Design of Optimized Weighted Deep Feature Fusion Strategies for Skin Lesion Image Classification. Cancers (Basel) 2022;14:cancers14225716. [PMID: 36428808 PMCID: PMC9688253 DOI: 10.3390/cancers14225716] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/11/2022] [Accepted: 11/11/2022] [Indexed: 11/23/2022]  Open
4
Identifying out of distribution samples for skin cancer and malaria images. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
5
Fraiwan M, Faouri E. On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning. SENSORS 2022;22:s22134963. [PMID: 35808463 PMCID: PMC9269808 DOI: 10.3390/s22134963] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 06/22/2022] [Accepted: 06/29/2022] [Indexed: 12/15/2022]
6
Comparison of machine learning strategies for infrared thermography of skin cancer. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102872] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
7
Kassem MA, Hosny KM, Damaševičius R, Eltoukhy MM. Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. Diagnostics (Basel) 2021;11:1390. [PMID: 34441324 PMCID: PMC8391467 DOI: 10.3390/diagnostics11081390] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 07/25/2021] [Accepted: 07/27/2021] [Indexed: 12/04/2022]  Open
8
Abhishek K, Kawahara J, Hamarneh G. Predicting the clinical management of skin lesions using deep learning. Sci Rep 2021;11:7769. [PMID: 33833293 PMCID: PMC8032721 DOI: 10.1038/s41598-021-87064-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 03/17/2021] [Indexed: 11/28/2022]  Open
9
Khan MA, Akram T, Zhang YD, Sharif M. Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework. Pattern Recognit Lett 2021. [DOI: 10.1016/j.patrec.2020.12.015] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
10
Annaby MH, Elwer AM, Rushdi MA, Rasmy MEM. Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs. J Digit Imaging 2021;34:162-181. [PMID: 33415444 PMCID: PMC7886936 DOI: 10.1007/s10278-020-00401-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 08/31/2020] [Accepted: 11/18/2020] [Indexed: 10/22/2022]  Open
11
Khan MA, Akram T, Sharif M, Javed K, Rashid M, Bukhari SAC. An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection. Neural Comput Appl 2020;32:15929-15948. [DOI: 10.1007/s00521-019-04514-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 10/09/2019] [Indexed: 12/22/2022]
12
Durgarao N, Sudhavani G. Detection of skin cancer with adaptive fuzzy classifier using improved whale optimization. BIOMED ENG-BIOMED TE 2020;65:605-619. [DOI: 10.1515/bmt-2018-0110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 02/14/2020] [Indexed: 11/15/2022]
13
Moradi N, Mahdavi-Amiri N. Kernel sparse representation based model for skin lesions segmentation and classification. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2019;182:105038. [PMID: 31437709 DOI: 10.1016/j.cmpb.2019.105038] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 08/12/2019] [Accepted: 08/15/2019] [Indexed: 06/10/2023]
14
Talavera-Martínez L, Bibiloni P, González-Hidalgo M. Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2019;182:105049. [PMID: 31494412 DOI: 10.1016/j.cmpb.2019.105049] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/12/2019] [Accepted: 08/23/2019] [Indexed: 06/10/2023]
15
Chatterjee S, Dey D, Munshi S. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2019;178:201-218. [PMID: 31416550 DOI: 10.1016/j.cmpb.2019.06.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/03/2019] [Accepted: 06/15/2019] [Indexed: 05/04/2023]
16
Chatterjee S, Dey D, Munshi S, Gorai S. Extraction of features from cross correlation in space and frequency domains for classification of skin lesions. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.101581] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
17
Pathan S, Gopalakrishna Prabhu K, Siddalingaswamy P. Automated detection of melanocytes related pigmented skin lesions: A clinical framework. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.02.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
18
Pathan S, Aggarwal V, Prabhu KG, Siddalingaswamy PC. Melanoma Detection in Dermoscopic Images using Color Features. ACTA ACUST UNITED AC 2019. [DOI: 10.13005/bpj/1619] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
19
Mahbod A, Schaefer G, Ellinger I, Ecker R, Pitiot A, Wang C. Fusing fine-tuned deep features for skin lesion classification. Comput Med Imaging Graph 2019;71:19-29. [DOI: 10.1016/j.compmedimag.2018.10.007] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 09/30/2018] [Accepted: 10/30/2018] [Indexed: 10/27/2022]
20
Tajeddin NZ, Asl BM. Melanoma recognition in dermoscopy images using lesion's peripheral region information. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018;163:143-153. [PMID: 30119849 DOI: 10.1016/j.cmpb.2018.05.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Revised: 04/17/2018] [Accepted: 05/03/2018] [Indexed: 06/08/2023]
21
Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images. Symmetry (Basel) 2018. [DOI: 10.3390/sym10020051] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]  Open
22
Lin MC, Iqbal U, Jack Li YC. Solving the adoption bottleneck to streamline application of medical informatics. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2017;149:A1-A2. [PMID: 28802333 DOI: 10.1016/s0169-2607(17)30989-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
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