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Precise Skin Cancer Detection Based on Gamma Transform and Wavelet Convolution
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Shiqiang BAI, Yiren CAI, Lihong LI*
Radio Communications Technology | 2025, 51(5) : 993 - 1007
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Radio Communications Technology | 2025, 51(5): 993-1007
Special Topic:Frontiers in Intelligent Communication, Storage, and Information Processing Technologies
Precise Skin Cancer Detection Based on Gamma Transform and Wavelet Convolution
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Shiqiang BAI, Yiren CAI, Lihong LI*
Affiliations
  • College of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China
Published: 2025-09-18 doi: 10.3969/j.issn.1003-3114.2025.05.012
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Skin cancer and melanocytic nevus share numerous similarities, which can result in a misdiagnosis by dermatologists. To improve the screening accuracy of early skin cancer patients, the Gamma Transform Block (GMTB) based on Gamma Transform (GT) and Wavelet Convolution Block (WTCB) based on Wavelet Transform (WT) are proposed. Furthermore, the Space-Frequency Transform Network (SFTNet) for capturing fine-grained features of skin cancer is innovatively proposed based on the Detection Transformer(DETR) architecture. SFTNet-based skin cancer screening system can effectively improve disease detection accuracy because it enhances the sample image at different channels and reduces over-fitting effect during the model training process. Simulation results on HAM10000 dataset show that the accuracy of this system can reach 85.5%, which underscores the significant clinical value of our approach in skin cancer assisted diagnosis.

deep learning  /  medical image processing  /  skin cancer detection  /  GT  /  wavelet convolution  /  SFTNet
Shiqiang BAI, Yiren CAI, Lihong LI. Precise Skin Cancer Detection Based on Gamma Transform and Wavelet Convolution[J]. Radio Communications Technology, 2025 , 51 (5) : 993 -1007 . DOI: 10.3969/j.issn.1003-3114.2025.05.012
Year 2025 volume 51 Issue 5
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doi: 10.3969/j.issn.1003-3114.2025.05.012
  • Receive Date:2025-04-22
  • Online Date:2026-04-17
  • Published:2025-09-18
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  • Received:2025-04-22
Affiliations
    College of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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