prerakmody/autoseg_han.csv

## autoseg_han.csv

          
            Feature
             AnatomyNet
             FocusNet
             StratifiedNet
             DeepMindNet

            
              Input
               3D Volume
               3D volume
               3D Sub-Volume
               3D Sub-Volume

            
              Crop Info
               178×302×225
               N/A
               128x128x64
               512x512x21

            
              Training Data
               38(MICCAI) + 46(Cetuximab) + 177 (Quebec)
               38(MICCAI)
               38(MICCAI)
               663 (Private dataset)

            
              Augmentation
               Affine + Elastic
               N/A
               Scaling
               2D Augmentations

            
              Architecture
               3D UNet-variant
               3D UNet-variant
               P-HNN
               3D UNet-variant

            
              Additional Blocks
               Squeeze-Excitation Residual Blocks
               Squeeze-Excitation Residual Blocks + DenseASPP
               NAS
               Deptwise-Separable Convs

            
              Cascaded Architecture
               No
               Yes (for smaller optic organs)
               Yes (from anchor to small organs)
               No

            
              Downsampling
               Dim/2
               Dim/2
               N/A
               Dim/64

            
              Final Activation
               softmax
               N/A
               N/A
               Sigmoid

            
              GPU
               Nvidia Tesla P40 (24GB)
               N/A
               NVIDIA Quadro RTX 8000 (48GB)
               N/A

## autoseg_han_results.csv

          
            Organ
             AnatomyNet
             FocusNet
             StratifiedNet
             DeepMindNet

            
              Brainstem
               86.65
               87.5
               87.6
               84.2

            
              Chiasm
               53.22
               59.6
               64.9
               N/A

            
              Mandible
               92.51
               93.5
               95.1
               93.8

            
              Opt Nrv L
               72.10
               73.5
               75.3
               71.6

            
              Opt Nrv R
               70.64
               74.4
               74.6
               69.1

            
              Parotid L
               88.07
               86.3
               88.2
               88.1

            
              Parotid R
               87.35
               87.9
               88.2
               86.6

            
              Submandibular L
               81.37
               79.8
               84.2
               76.5

            
              Submandibular R
               81.3
               80.1
               83.8
               79.2

            
              Average
               79.25
               80.29
               82.4
               N/A
Feature	AnatomyNet	FocusNet	StratifiedNet	DeepMindNet
Input	3D Volume	3D volume	3D Sub-Volume	3D Sub-Volume
Crop Info	178×302×225	N/A	128x128x64	512x512x21
Training Data	38(MICCAI) + 46(Cetuximab) + 177 (Quebec)	38(MICCAI)	38(MICCAI)	663 (Private dataset)
Augmentation	Affine + Elastic	N/A	Scaling	2D Augmentations
Architecture	3D UNet-variant	3D UNet-variant	P-HNN	3D UNet-variant
Additional Blocks	Squeeze-Excitation Residual Blocks	Squeeze-Excitation Residual Blocks + DenseASPP	NAS	Deptwise-Separable Convs
Cascaded Architecture	No	Yes (for smaller optic organs)	Yes (from anchor to small organs)	No
Downsampling	Dim/2	Dim/2	N/A	Dim/64
Final Activation	softmax	N/A	N/A	Sigmoid
GPU	Nvidia Tesla P40 (24GB)	N/A	NVIDIA Quadro RTX 8000 (48GB)	N/A
Organ	AnatomyNet	FocusNet	StratifiedNet	DeepMindNet
Brainstem	86.65	87.5	87.6	84.2
Chiasm	53.22	59.6	64.9	N/A
Mandible	92.51	93.5	95.1	93.8
Opt Nrv L	72.10	73.5	75.3	71.6
Opt Nrv R	70.64	74.4	74.6	69.1
Parotid L	88.07	86.3	88.2	88.1
Parotid R	87.35	87.9	88.2	86.6
Submandibular L	81.37	79.8	84.2	76.5
Submandibular R	81.3	80.1	83.8	79.2
Average	79.25	80.29	82.4	N/A