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Title: :  ECRNet:Hybrid Network For Skin Cancer Identification
PaperId: :  27703
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27703
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr.Chetan SS J M INSTITUTE OF TECHNOLOGY, CHITRADURGA
Ankitha KS J M INSTITUTE OF TECHNOLOGY, CHITRADURGA
Aruna GS J M INSTITUTE OF TECHNOLOGY, CHITRADURGA
Kanaka SS J M INSTITUTE OF TECHNOLOGY, CHITRADURGA
Pavitra H SajjanashetraS J M INSTITUTE OF TECHNOLOGY, CHITRADURGA

Abstract

Electronics and Communication Engineering
Skin cancer image recognition, Attention mechanism, Transformer, Convolutional neural networks
Skin cancer recognition poses a significant challenge in the field of deep learning. While conventional convolutional neural networks have been extensively employed for classifying skin cancer images, their fixed receptive field limits their ability to capture the global features present in such images. Conversely, transformer-based models that rely on self-attention can effectively model long-range dependencies, but they come with high computational complexity and exhibit certain limitations in local feature induction. To address this issue, this paper presents a novel skin cancer recognition network named ECRNet. ECRNet has been designed to effectively capture both global and local information, and it introduces an explicit vision center to accomplish this purpose. Moreover, this paper presents a feature fusion module known as the CCPA block. This module utilizes both coordinate attention and channel attention mechanisms to extract image features and enhance the representation of skin cancer images. To evaluate the performance of ECRNet, extensive experimental comparisons were conducted on the ISIC2018 dataset. The experimental results demonstrate that ECRNet outperforms the baseline model, showing improvements of 1.19% in accuracy (ACC), 1.96% in precision, 4.08% in recall, and 3.28% in the F1 score

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IJARIIE Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. "ECRNet:Hybrid Network For Skin Cancer Identification" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 568-574
MLA Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. "ECRNet:Hybrid Network For Skin Cancer Identification." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 568-574.
APA Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, & Pavitra H Sajjanashetra. (2025). ECRNet:Hybrid Network For Skin Cancer Identification. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 568-574.
Chicago Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. "ECRNet:Hybrid Network For Skin Cancer Identification." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 568-574.
Oxford Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. 'ECRNet:Hybrid Network For Skin Cancer Identification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 568-574. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/ECRNet_Hybrid_Network_For__Skin_Cancer_Identification_ijariie27703.pdf (Accessed : ).
Harvard Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. (2025) 'ECRNet:Hybrid Network For Skin Cancer Identification', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 568-574IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/ECRNet_Hybrid_Network_For__Skin_Cancer_Identification_ijariie27703.pdf (Accessed : )
IEEE Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra, "ECRNet:Hybrid Network For Skin Cancer Identification," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 568-574, Nov-Dec 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/ECRNet_Hybrid_Network_For__Skin_Cancer_Identification_ijariie27703.pdf [Accessed : ].
Turabian Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. "ECRNet:Hybrid Network For Skin Cancer Identification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver Dr.Chetan S, Ankitha K, Aruna G, Kanaka S, and Pavitra H Sajjanashetra. ECRNet:Hybrid Network For Skin Cancer Identification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 568-574. Available from: http://ijariie.com/AdminUploadPdf/ECRNet_Hybrid_Network_For__Skin_Cancer_Identification_ijariie27703.pdf
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