Proliferation and differentiation of myoblasts derived from satellite cells in WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Phenotypic characterization of NMIIC knockout (KO) mice. by Hiroki Hamaguchi (22783780)

Subjects:

Fiber types and muscle force in the soleus of 18-20-week-old WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Phenotypic characterization of 81-week-old NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Data. by Chao Zhang (51048)

“…However, the reported rate of urticaria decreased significantly in post-LAW period(P = 0.043). …”

Summary of previous work. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Dataset for insulator defect detection. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

YOLOV8. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Faster-RCNN. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Results of ablation experiments. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure diagram of SPDConv. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Wise-IOU regression diagram. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Visualization of detection results. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure diagram of the SE attention mechanism. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”