Research Article

[Retracted] Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer

Table 1

Breast cancer data collection for 928 patients.

Information about patientsNumber of trained and validation datasetsTest report ATest report B

Number of breast cancer patients7508890
No axillary lymph node metastasis300 (60)48 (62)47 (62)
Axillary lymph node metastasis450 (60)48 (58)39 (61)
Patients age50.8 (between 26 and 75)52.6(between 26 and 76)48.8 (between 28 and 74)
 <35 years224 (28)15 (18)12 (15)
 35-48 years275 (42)40 (50)42 (52)
 49-58 years198 (30)31 (37)30 (36)
 59-68 years100 (15)15 (18)20 (16)
 ≥69 years35 (6)5 (8)5 (6)
Clinical record of tumor size ≤2.5 centimeter400 (58.8)44 (45.8)41 (40.9)
Clinical record of tumor size 2.6 to 5.5 centimeter350 (62.2)56 (59.8)58 (63.7)
Mixed histological135 (28.7)33 (32.8)12 (14.7)
Lobular histological225 (38.8)21 (25.8)25 (30.5)
Ductal histological359 (52.8)39 (49.5)50 (61.5)
Number of breast tumor images90811090
No axillary lymph node metastasis400 (52.8)52 (53.6)40 (48.8)
Axillary lymph node metastasis508 (55.8)53 (54.8)45 (55.8)
 Left434 (49.8)50 (51.2)58 (70.2)
 Right465 (62.4)52 (52.8)27 (32.1)
Tumor size ≤2.5 centimeter372 (51)46 (47.2)38 (46.6)
Tumor size 2.5 to 4.5 centimeter442 (50.8)39 (40.2)40 (49.2)
>4.5 centimeter88 (9.5)18 (16.8)8 (8.5)

Ranges are represented inside the parentheses.