Table 1 Summary of hyperparameters and training details for Stage I and Stage II models.

From: Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework

Stage

Model

Dataset

Loss functions

Batch size

Optimizer

Learning rate \(\alpha\)

Convergence epochs

Stage I

(Pre-training)

TILSeg-MobileViT

PanopTILs

Focal+Dice(Main Head),

MSE (Distance Head)

8

Adam

0.001

30

Stage I

(Fine-Tuning)

TILSeg-MobileViT

OSCC\(_{tcga}\)

Focal+Dice(Main Head),

MSE (Distance Head)

16

Adam

0.001

20

Stage II

Only Image(\(\phi _{img}\))

Raw Images

(OSCC\(_{tcga}\))

Cross-Entropy

16

Adam

0.001

16

0.0001

6

SGD

0.001

9

0.0001

30

Stage II

Only Cell density map(\(\phi _{cell}\))

Cellular Density Maps

(OSCC\(_{tcga}\))

Cross-Entropy

16

Adam

0.001

12

0.0001

8

SGD

0.001

10

0.0001

8

Stage II

OralTILs-ViT

Combined Features

(Raw Images

+

Cellular Density Maps

OSCC\(_{tcga}\))

Cross-Entropy

16

Adam

0.001

10

0.0001

7

SGD

0.001

8

0.0001

10