Table 2 Table of the clinical features of the adopted dataset and their distributions.

From: Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence

Clinical feature

Distribution

Recurrence

 Yes (abs; %)

(40; 27.78%)

 No (abs; %)

(104; 72.22%)

Age at histological diagnosis

 Median [q1; q3]

69 [64; 76]

Weight (lbs)

 Median [q1; q3]

173.5 [145.13; 198.90]

 Nan (abs; %)

(10; 6.94%)

Gender

 Female (abs; %)

(36; 25%)

 Male (abs; %)

(108; 75%)

Histology

 Adenocarcinoma (abs; %)

(112; 77.77%)

 Squamous cell carcinoma (abs; %)

(29; 20.14%)

 Not otherwise specified (abs; %)

(3; 2.08%)

Pathological T stage

 T1 (abs; %)

(74; 51.39%)

 T2 (abs; %)

(49; 34.03%)

 T3 (abs; %)

(16; 11.11%)

 T4 (abs; %)

(5; 3.47%)

Pathological N stage

 N0 (abs; %)

(115; 79.86%)

 N1 (abs; %)

(12; 8.33%)

 N2 (abs; %)

(17; 11.8%)

Histopathological grade

 G1 (abs; %)

(37; 25.69%)

 G2 (abs; %)

(80; 55.56%)

 G3 Poorly differentiated (abs; %)

(27; 18.75%)

Lymphovascular invasion

 Absent (abs; %)

(121; 84.03%)

 Present (abs; %)

(18; 12.5%)

 Not Collected (abs; %)

(5; 3.47%)

Pleural invasion

 No (abs; %)

(105; 72.92%)

 Yes (abs; %)

(39; 27.08%)

  1. Nan” means “Not A Number” if the data is missing in the database, “abs” stands for “absolute value”.