This paper realizes the classification of breast ultrasound images by combining VGG-19 and VIT models Breast Ultrasound Images Dataset | Kaggle
PyTorch VGG19 reproduction code
# VGG19.py
import torch
import torch.nn as nn
class Conv(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size=1, stride=1,
padding=None, groups=1, activation=True):
super(Conv, self).__init__()
padding = kernel_size // 2 if padding is None else padding
self.conv = nn.Conv2d(in_channels, out_channels, kernel_size, stride,
padding, groups=groups, bias=True)