奇迹很少发生，生活还需靠自己。
Amazing happens by accident, however, living flourishes with your own strength.
论文：
FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer | IEEE Journals & Magazine | IEEE Xplore
代码: GitHub - Woodman718/FixCaps: FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer，DOI: 10.1109/ACCESS.2022.3181225
摘要：
The early detection of skin cancer substantially improves the fifive-year survival rate of patients.
It is often diffificult to distinguish early malignant tumors from skin images, even by expert dermatologists. Therefore, several classifification methods of dermatoscopic images have been proposed, but they have been found to be inadequate or defective for skin cancer detection, and often require a large amount of calculations. This study proposes an improved capsule network called FixCaps for dermoscopic image classifification. FixCaps has a larger receptive fifield than CapsNets by applying a high-performance large-kernel at the bottom convolution layer whose kernel size is as large as 31 × 31, in contrast to commonly used 9 × 9. The convolutional block attention module was used to reduce the losses of spatial information caused by convolution and pooling. The group convolution was used to avoid model underfifitting in the capsule layer. The network can improve the detection accuracy and reduce a great amount of calculations, compared with several existing methods. The experimental results showed that FixCaps is better than IRv2-SA for skin cancer diagnosis, which achieved an accuracy of 96.49% on the HAM10000 dataset.
Generalization Performance
Available:
https://challenge.isic-archive.com/data/#2018
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86TNote: The augmented data of HAM10000 can be obtained as follows:
https://aistudio.baidu.com/aistudio/datasetdetail/151696
Dataset: https://www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database
The COVID-19 Radiography Database consisted of 21165 images.
Among them, covid(3616),normal(10192),opacity(6012),viral(1345).万物生长，吾需成长：
辗转反侧，徘徊，迷惘，兜兜转转终于在去年十一月初迈进医学图像处理的道路。开始的时候没有多少思路，效果也不理想，后来在跟损友们的交流中找到一丢丢灵感，最后出来的模型效果还不错。当然，期间也跟导师、同侪们多有交流，感谢他们的帮助、支持和鼓励。
IEEE Access 审稿很快：
5月9日 投稿
5月11日review
5月19日 Rejected,鼓励修改重投
5月23日 大修后重投
6月5日 录用
收到录取邮件的时候，激动的心情无以言表。
IEEE access也算SCI检索，中科院3区，还说得过去（满足毕业要求）。
论文的录用，也标志着实验室学习生涯的圆满收官。
感谢蓝老师帮忙报销了版面费，1665美刀，折合人民币一万一，挺贵的。
