2025计算机科学毕设一套基于改进VisionTransformer的脑肿瘤分类系统(论文+程序代码源码)定稿.zip
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李栋毅毕业论文.docx 标题：基于改进VisionTransformer的脑肿瘤分类系统.docx(5.43 MB)
- .pytest_cache
.gitignore(39 B)
CACHEDIR.TAG(191 B)
README.md(310 B)
- v
- cache
nodeids(2 B)
stepwise(2 B)
123.py(14.75 KB)
321.py(3.8 KB)
__init__.py(1 B)
- __pycache__
__init__.cpython-312.pyc(147 B)
datasets.cpython-312.pyc(10.79 KB)
MedViT.cpython-312.pyc(30.57 KB)
test_model.cpython-312-pytest-7.4.4.pyc(8.81 KB)
utils.cpython-312.pyc(18.79 KB)
datasets.py(8.86 KB)
engine.py(3.42 KB)
evaluate_model.py(27.21 KB)
- evaluation_results(1)
confusion_matrix.png(91.86 KB)
confusion_matrix_norm.png(108.76 KB)
- data
confusion_matrix.csv(140 B)
modified_curves.png(190.92 KB)
nmd.py(9.61 KB)
performance_metrics.csv(435 B)
performance_metrics.png(117.49 KB)
precision_recall_data.json(170.29 KB)
prediction_results.csv(60.37 KB)
raw_prediction_data.npz(21.44 KB)
README.txt(499 B)
roc_data.json(13.93 KB)
evaluation_report.txt(1.2 KB)
metrics_by_class.png(139.81 KB)
precision_recall_curves.png(179.15 KB)
roc_curves.png(245.79 KB)
sample_predictions.png(940.45 KB)
- 新建文件夹
confusion_matrix.png(91.86 KB)
confusion_matrix_norm.png(108.76 KB)
evaluation_report.txt(1.2 KB)
metrics_by_class.png(139.81 KB)
precision_recall_curves.png(179.15 KB)
roc_curves.png(245.79 KB)
sample_predictions.png(859.71 KB)
- evaluation_results
confusion_matrix.png(95.06 KB)
confusion_matrix_norm.png(108.73 KB)
evaluation_report.txt(1.21 KB)
metrics_by_class.png(139.65 KB)
model_structure.txt(88.15 KB)
precision_recall_curves.png(185.69 KB)
roc_curves.png(247.68 KB)
sample_predictions.png(1.07 MB)
gradcam_simple.py(13.43 KB)
logger.py(1001 B)
losses.py(2.71 KB)
main.py(19.83 KB)
MedViT.py(20.15 KB)
- medvit_gradcam_results
- realistic_evaluation_results
confusion_matrix.png(96.96 KB)
confusion_matrix_norm.png(122.27 KB)
- data
confusion_matrix.csv(145 B)
performance_metrics.csv(440 B)
precision_recall_data.json(187.39 KB)
README.txt(324 B)
roc_data.json(23.11 KB)
evaluation_report.txt(1.05 KB)
metrics_by_class.png(142.4 KB)
precision_recall_curves.png(480.15 KB)
roc_curves.png(413.64 KB)
relitu.py(16.32 KB)
samplers.py(2.24 KB)
test_model.py(6.15 KB)
test_model_with_roi.py(11.97 KB)
train.py(38.75 KB)
train.sh(461 B)
train_medvit.py(8.88 KB)
utils.py(11.1 KB)
visualization.py(23.03 KB)
xitong.py(26.42 KB)
xitong1.py(41.97 KB)
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