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1صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g003Test
https://figshare.com/articles/figure/Data_augmentation_/24950558Test -
2صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g002Test
https://figshare.com/articles/figure/Image_acquisition_equipment_/24950555Test -
3صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g005Test
https://figshare.com/articles/figure/Distribution_of_jujube_samples_with_black_spot_disease_based_on_the_size_of_disease_spots_/24950564Test -
4صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g008Test
https://figshare.com/articles/figure/BFP_feature_enhancement_chart_/24950573Test -
5صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g001Test
https://figshare.com/articles/figure/The_structure_of_JujubeSSD_/24950552Test -
6صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g004Test
https://figshare.com/articles/figure/Label_width_and_height_distribution_/24950561Test -
7صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g007Test
https://figshare.com/articles/figure/PAFPN_multiscale_feature_fusion_/24950570Test -
8صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g006Test
https://figshare.com/articles/figure/Deformable_convolution_introduced_into_SSD_networks_/24950567Test -
9صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g010Test
https://figshare.com/articles/figure/Comparison_of_confusion_matrices_for_different_methods_/24950579Test -
10صورة
المؤلفون: Zhi-Ben Yin, Fu-Yong Liu, Hui Geng, Ya-Jun Xi, De-Bin Zeng, Chun-Jing Si, Ming-Deng Shi
مصطلحات موضوعية: Cancer, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, traditional convolution layer, target detail features, single shot multi, multiple location details, jujubessd reached 97,
href =" mailto, experimental results demonstrate, deformable convolutional networks, balanced feature pyramid, 61 %, respectively, 1 %, representing, parameter information obtained, method called jujubessd, identifying disease spots, disease spot regions, mean average precision, div >< p, disease spots, weak information, spot detection, proposed method, varying sizes, varying densities الإتاحة: https://doi.org/10.1371/journal.pone.0296314.g011Test
https://figshare.com/articles/figure/Ablation_experiment_training_process_/24950582Test