Three-dimensional visualization of thyroid ultrasound images based on multi-scale features fusion and hierarchical attention

[11] Mirza-Aghazadeh-Attari M(2020)Automatic deep learning semantic segmentation of ultrasound thyroid cineclips using recurrent fully convolutional networks IEEE Access 9 56-107

[12] Faeghi F(2022)Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues Med Phys 49 467-579

[13] Yadav N(2022)A novel deep learning framework for automatic recognition of thyroid gland and tissues of neck in ultrasound image IEEE Trans Circuits Syst Video Technol 32 8905-748

[14] Dass R(2023)Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture BMC Med Imaging 23 1167-373

[15] Virmani J(2016)3D segmentation of thyroid ultrasound images using active contours Curr Direct Biomed Eng 2 21-undefined

[16] Chen Y(2022)Despeckling filters applied to thyroid ultrasound images: a comparative analysis Multimed Tools Appl 81 94-undefined

[17] Zhang X(2023)RED-MAM: a residual encoder-decoder network based on multi-attention fusion for ultrasound image denoising Biomed Signal Process Control 79 547-undefined

[18] Li D(2023)Deep learning for fast denoising filtering in ultrasound localization microscopy Phys Med Biol 68 735-undefined

[19] Bi H(2023)Image noise removal in ultrasound breast images based on hybrid deep learning technique Sensors 23 145-undefined

[20] Cai C(2019)Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers Med Image Anal 51 undefined-undefined

[11] Mirza-Aghazadeh-Attari M(2020)Automatic deep learning semantic segmentation of ultrasound thyroid cineclips using recurrent fully convolutional networks IEEE Access 9 56-107

[12] Faeghi F(2022)Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues Med Phys 49 467-579

[13] Yadav N(2022)A novel deep learning framework for automatic recognition of thyroid gland and tissues of neck in ultrasound image IEEE Trans Circuits Syst Video Technol 32 8905-748

[14] Dass R(2023)Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture BMC Med Imaging 23 1167-373

[15] Virmani J(2016)3D segmentation of thyroid ultrasound images using active contours Curr Direct Biomed Eng 2 21-undefined

[16] Chen Y(2022)Despeckling filters applied to thyroid ultrasound images: a comparative analysis Multimed Tools Appl 81 94-undefined

[17] Zhang X(2023)RED-MAM: a residual encoder-decoder network based on multi-attention fusion for ultrasound image denoising Biomed Signal Process Control 79 547-undefined

[18] Li D(2023)Deep learning for fast denoising filtering in ultrasound localization microscopy Phys Med Biol 68 735-undefined

[19] Bi H(2023)Image noise removal in ultrasound breast images based on hybrid deep learning technique Sensors 23 145-undefined

[20] Cai C(2019)Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers Med Image Anal 51 undefined-undefined