MDFNet: application of multimodal fusion method based on skin image and clinical data to skin cancer classification

[21] Chen C(2021)A review on the attention mechanism of deep learning Neurocomputing 116 5227-1223

[22] Corona R(2005)Tobacco smoking, snuff dipping and the risk of cutaneous squamous cell carcinoma: a nationwide cohort study in Sweden Br J Cancer 25 1215-53

[23] Dogliotti E(2020)The impact of patient clinical information on automated skin cancer detection Comput Biol Med 32 45-241

[24] D'Errico M(2021)An attention-based mechanism to combine images and metadata in deep learning models applied to skin cancer classification IEEE J Biomed Health Inform 34 229-187

[25] Sera F(2020)PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones Data Brief 60 149-3764

[26] Iavarone I(2017)Deep multimodal learning: A survey on recent advances and trends IEEE Signal Process Mag 141 3740-undefined

[27] Baliva G(2022)InSiNet: a deep convolutional approach to skin cancer detection and segmentation Med Biol Eng Comput 22 undefined-undefined

[28] Dai C(2021)Role of Epigenetics in the Regulation of Immune Functions of the Skin J Investig Dermatol 15 undefined-undefined

[29] Liu X(2021)Daily lifestyle and cutaneous malignancies Int J Mol Sci 161 undefined-undefined

[30] Lai J(2020)Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound Int J Comput Assist Radiol Surg 211 undefined-undefined

[21] Chen C(2021)A review on the attention mechanism of deep learning Neurocomputing 116 5227-1223

[22] Corona R(2005)Tobacco smoking, snuff dipping and the risk of cutaneous squamous cell carcinoma: a nationwide cohort study in Sweden Br J Cancer 25 1215-53

[23] Dogliotti E(2020)The impact of patient clinical information on automated skin cancer detection Comput Biol Med 32 45-241

[24] D'Errico M(2021)An attention-based mechanism to combine images and metadata in deep learning models applied to skin cancer classification IEEE J Biomed Health Inform 34 229-187

[25] Sera F(2020)PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones Data Brief 60 149-3764

[26] Iavarone I(2017)Deep multimodal learning: A survey on recent advances and trends IEEE Signal Process Mag 141 3740-undefined

[27] Baliva G(2022)InSiNet: a deep convolutional approach to skin cancer detection and segmentation Med Biol Eng Comput 22 undefined-undefined

[28] Dai C(2021)Role of Epigenetics in the Regulation of Immune Functions of the Skin J Investig Dermatol 15 undefined-undefined

[29] Liu X(2021)Daily lifestyle and cutaneous malignancies Int J Mol Sci 161 undefined-undefined

[30] Lai J(2020)Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound Int J Comput Assist Radiol Surg 211 undefined-undefined