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trained_models/multiclass_comparative_20260106_161436/comparative_report.txt

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+
+MULTI-MODEL COMPARATIVE ANALYSIS
+=================================
+Generated: 2026-01-06 15:40:27
+
+MODELS TESTED: UNET, ATTN_UNET, TRANS_UNET, DEEPL3_UNET
+
+PERFORMANCE COMPARISON:
+-----------------------
+      Model      Class  Precision   Recall     Dice      HD95
+       UNET Ventricles   0.912415 0.911335 0.911875  5.339421
+       UNET        WMH   0.801302 0.801639 0.801471 19.065767
+       UNET    Overall   0.856859 0.856487 0.856673 12.202594
+  ATTN_UNET Ventricles   0.911730 0.922551 0.917108  3.851466
+  ATTN_UNET        WMH   0.834476 0.766968 0.799299 20.233646
+  ATTN_UNET    Overall   0.873103 0.844759 0.858204 12.042556
+ TRANS_UNET Ventricles   0.913299 0.894776 0.903943  8.882211
+ TRANS_UNET        WMH   0.881039 0.641171 0.742206 24.841500
+ TRANS_UNET    Overall   0.897169 0.767974 0.823074 16.861855
+DEEPL3_UNET Ventricles   0.866921 0.857260 0.862064 11.288985
+DEEPL3_UNET        WMH   0.761527 0.692933 0.725612 24.452842
+DEEPL3_UNET    Overall   0.814224 0.775096 0.793838 17.870914
+
+BEST PERFORMING MODELS BY CLASS:
+---------------------------------
+
+Ventricles:
+  Best Dice: ATTN_UNET (0.9171)
+  Best HD95: ATTN_UNET (3.8514)
+WMH:
+  Best Dice: UNET (0.8014)
+  Best HD95: UNET (19.0657)
+Overall:
+  Best Dice: ATTN_UNET (0.8582)
+  Best HD95: ATTN_UNET (12.0425)
+
+Files saved in: multiclass_comparative_20260106_154027

trained_models/multiclass_comparative_20260106_161436/dice_comparison.csv

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+Model,Overall,Ventricles,WMH
+ATTN_UNET,0.858203732,0.917108219,0.799299245
+DEEPL3_UNET,0.793837978,0.862063517,0.725612439
+TRANS_UNET,0.823074424,0.903942661,0.742206186
+UNET,0.856672601,0.911874615,0.801470588

trained_models/multiclass_comparative_20260106_161436/hd95_comparison.csv

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+Model,Overall,Ventricles,WMH
+ATTN_UNET,12.04255574,3.851465528,20.23364596
+DEEPL3_UNET,17.87091382,11.28898522,24.45284242
+TRANS_UNET,16.86185535,8.882210871,24.84149984
+UNET,12.20259388,5.339420631,19.06576712

trained_models/multiclass_comparative_20260106_161436/model_comparison.csv

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+Model,Class,Precision,Recall,Dice,HD95
+UNET,Ventricles,0.912415295,0.911334574,0.911874615,5.339420631
+UNET,WMH,0.801302247,0.801639,0.801470588,19.06576712
+UNET,Overall,0.856858771,0.856486787,0.856672601,12.20259388
+ATTN_UNET,Ventricles,0.911729575,0.922550702,0.917108219,3.851465528
+ATTN_UNET,WMH,0.834476452,0.76696785,0.799299245,20.23364596
+ATTN_UNET,Overall,0.873103013,0.844759276,0.858203732,12.04255574
+TRANS_UNET,Ventricles,0.913298791,0.894776282,0.903942661,8.882210871
+TRANS_UNET,WMH,0.881039461,0.641171114,0.742206186,24.84149984
+TRANS_UNET,Overall,0.897169126,0.767973698,0.823074424,16.86185535
+DEEPL3_UNET,Ventricles,0.866920896,0.857260267,0.862063517,11.28898522
+DEEPL3_UNET,WMH,0.761527211,0.692932689,0.725612439,24.45284242
+DEEPL3_UNET,Overall,0.814224053,0.775096478,0.793837978,17.87091382

trained_models/multiclass_comparative_20260106_161436/precision_comparison.csv

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+Model,Overall,Ventricles,WMH
+ATTN_UNET,0.873103013,0.911729575,0.834476452
+DEEPL3_UNET,0.814224053,0.866920896,0.761527211
+TRANS_UNET,0.897169126,0.913298791,0.881039461
+UNET,0.856858771,0.912415295,0.801302247

trained_models/multiclass_comparative_20260106_161436/recall_comparison.csv

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+Model,Overall,Ventricles,WMH
+ATTN_UNET,0.844759276,0.922550702,0.76696785
+DEEPL3_UNET,0.775096478,0.857260267,0.692932689
+TRANS_UNET,0.767973698,0.894776282,0.641171114
+UNET,0.856486787,0.911334574,0.801639

trained_models/multiclass_comparative_20260106_161436/statistics/statistical_analysis.json

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+{
+  "model_comparison": {
+    "Precision_Overall": {
+      "values": {
+        "unet": 0.8568587713417728,
+        "attn_unet": 0.8731030130474637,
+        "trans_unet": 0.8971691268170178,
+        "deepl3_unet": 0.8142240534072536
+      },
+      "best_model": "trans_unet",
+      "best_value": 0.8971691268170178
+    },
+    "Recall_Overall": {
+      "values": {
+        "unet": 0.8564867869939714,
+        "attn_unet": 0.8447592767330175,
+        "trans_unet": 0.767973698621257,
+        "deepl3_unet": 0.7750964781451007
+      },
+      "best_model": "unet",
+      "best_value": 0.8564867869939714
+    },
+    "Dice_Overall": {
+      "values": {
+        "unet": 0.8566726013813879,
+        "attn_unet": 0.858203732173929,
+        "trans_unet": 0.8230744241838578,
+        "deepl3_unet": 0.7938379783222795
+      },
+      "best_model": "attn_unet",
+      "best_value": 0.858203732173929
+    }
+  },
+  "class_comparison": {
+    "unet_Precision": {
+      "Ventricles": 0.9124152952565344,
+      "WMH": 0.8013022474270112,
+      "Difference": -0.11111304782952325,
+      "Better_Class": "Ventricles"
+    },
+    "unet_Recall": {
+      "Ventricles": 0.9113345741980711,
+      "WMH": 0.8016389997898719,
+      "Difference": -0.10969557440819921,
+      "Better_Class": "Ventricles"
+    },
+    "unet_Dice": {
+      "Ventricles": 0.9118746145205302,
+      "WMH": 0.8014705882422455,
+      "Difference": -0.11040402627828472,
+      "Better_Class": "Ventricles"
+    },
+    "attn_unet_Precision": {
+      "Ventricles": 0.911729575773053,
+      "WMH": 0.8344764527604024,
+      "Difference": -0.0772531230126506,
+      "Better_Class": "Ventricles"
+    },
+    "attn_unet_Recall": {
+      "Ventricles": 0.9225507022166356,
+      "WMH": 0.7669678503887372,
+      "Difference": -0.15558285182789844,
+      "Better_Class": "Ventricles"
+    },
+    "attn_unet_Dice": {
+      "Ventricles": 0.9171082194917984,
+      "WMH": 0.7992992445052995,
+      "Difference": -0.1178089749864989,
+      "Better_Class": "Ventricles"
+    },
+    "trans_unet_Precision": {
+      "Ventricles": 0.9132987912152218,
+      "WMH": 0.8810394614188139,
+      "Difference": -0.0322593297964079,
+      "Better_Class": "Ventricles"
+    },
+    "trans_unet_Recall": {
+      "Ventricles": 0.8947762827661534,
+      "WMH": 0.6411711144763606,
+      "Difference": -0.2536051682897928,
+      "Better_Class": "Ventricles"
+    },
+    "trans_unet_Dice": {
+      "Ventricles": 0.9039426610262511,
+      "WMH": 0.7422061863414643,
+      "Difference": -0.1617364746847868,
+      "Better_Class": "Ventricles"
+    },
+    "deepl3_unet_Precision": {
+      "Ventricles": 0.866920895668329,
+      "WMH": 0.7615272111461782,
+      "Difference": -0.10539368452215081,
+      "Better_Class": "Ventricles"
+    },
+    "deepl3_unet_Recall": {
+      "Ventricles": 0.857260267349948,
+      "WMH": 0.6929326889402535,
+      "Difference": -0.16432757840969447,
+      "Better_Class": "Ventricles"
+    },
+    "deepl3_unet_Dice": {
+      "Ventricles": 0.8620635171449851,
+      "WMH": 0.7256124394995741,
+      "Difference": -0.13645107764541098,
+      "Better_Class": "Ventricles"
+    }
+  },
+  "summary": {}
+}

trained_models/multiclass_comparative_20260106_161436/statistics/statistical_report.txt

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+
+STATISTICAL ANALYSIS REPORT
+===========================
+
+MODEL COMPARISON:
+-----------------
+
+Precision_Overall:
+  Best Model: trans_unet (0.8972)
+  unet: 0.8569
+  attn_unet: 0.8731
+  trans_unet: 0.8972
+  deepl3_unet: 0.8142
+
+Recall_Overall:
+  Best Model: unet (0.8565)
+  unet: 0.8565
+  attn_unet: 0.8448
+  trans_unet: 0.7680
+  deepl3_unet: 0.7751
+
+Dice_Overall:
+  Best Model: attn_unet (0.8582)
+  unet: 0.8567
+  attn_unet: 0.8582
+  trans_unet: 0.8231
+  deepl3_unet: 0.7938
+
+
+CLASS COMPARISON (within each model):
+--------------------------------------
+
+unet_Precision:
+  Ventricles: 0.9124
+  Abnormal WMH: 0.8013
+  Difference: -0.1111
+  Better Class: Ventricles
+
+unet_Recall:
+  Ventricles: 0.9113
+  Abnormal WMH: 0.8016
+  Difference: -0.1097
+  Better Class: Ventricles
+
+unet_Dice:
+  Ventricles: 0.9119
+  Abnormal WMH: 0.8015
+  Difference: -0.1104
+  Better Class: Ventricles
+
+attn_unet_Precision:
+  Ventricles: 0.9117
+  Abnormal WMH: 0.8345
+  Difference: -0.0772
+  Better Class: Ventricles
+
+attn_unet_Recall:
+  Ventricles: 0.9226
+  Abnormal WMH: 0.7670
+  Difference: -0.1556
+  Better Class: Ventricles
+
+attn_unet_Dice:
+  Ventricles: 0.9171
+  Abnormal WMH: 0.7993
+  Difference: -0.1178
+  Better Class: Ventricles
+
+trans_unet_Precision:
+  Ventricles: 0.9133
+  Abnormal WMH: 0.8810
+  Difference: -0.0323
+  Better Class: Ventricles
+
+trans_unet_Recall:
+  Ventricles: 0.8948
+  Abnormal WMH: 0.6412
+  Difference: -0.2536
+  Better Class: Ventricles
+
+trans_unet_Dice:
+  Ventricles: 0.9039
+  Abnormal WMH: 0.7422
+  Difference: -0.1617
+  Better Class: Ventricles
+
+deepl3_unet_Precision:
+  Ventricles: 0.8669
+  Abnormal WMH: 0.7615
+  Difference: -0.1054
+  Better Class: Ventricles
+
+deepl3_unet_Recall:
+  Ventricles: 0.8573
+  Abnormal WMH: 0.6929
+  Difference: -0.1643
+  Better Class: Ventricles
+
+deepl3_unet_Dice:
+  Ventricles: 0.8621
+  Abnormal WMH: 0.7256
+  Difference: -0.1365
+  Better Class: Ventricles