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该论文通过结合VGG-19和VIT模型,实现乳腺超声图像的分类Breast Ultrasound Images Dataset | Kaggle文章来源地址https://www.toymoban.com/news/detail-561588.html
PyTorch VGG19复现代码
# 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
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