我正在尝试制作一个简单的表格,但最后一列溢出了,没有边框,尽管内容并不多。我对乳胶还比较陌生,所以我不确定我是否遗漏了什么。
我使用了以下代码并且还附上了输出的图片。
\begin{table*}[t]
\centering
\begin{tabular*}{\textwidth}{|l|l|p{1.2cm}|p{1cm}|l|l
|l|l|l|l|l|l}
\hline
\multicolumn{1}{|c|}{\textit{\textbf{Paper}}}
& \multicolumn{1}{c|}{\textit{\textbf{Year}}}
& \multicolumn{1}{c|}{\textit{\textbf{Methodology}}}
& \multicolumn{1}{c|}{\textit{\textbf{Modality}}}
& \multicolumn{1}{c|}{\textit{\textbf{Automatic}}}
& \multicolumn{1}{c|}{\textit{\textbf{Supervision}}}
& \multicolumn{1}{c|}{\textit{\textbf{Acc.}}}
& \multicolumn{1}{c|}{\textit{\textbf{Precision}}}
& \multicolumn{1}{c|}{\textit{\textbf{Sensitivity}}}
& \multicolumn{1}{c|}{\textit{\textbf{Specificity}}}
& \multicolumn{1}{c|}{\textit{\textbf{DS*}}}
& \multicolumn{1}{c|}{\textit{\textbf{HS*}}}
\tabularnewline \hline
[27] & 2022 & BiTr-Unet & T1, T2, T1ce, FLAIR & semi & supervised & 95\% & - & - & - & 0.96 & 9.1647 \\
\hline
[28] & 2021 & LBTS-Net & T1, T2, FLAIR & semi & supervised & 98.11\% & - & - & - & 91\% & -
\tabularnewline \hline
[29] & 2019 & stacked sparse auto encoder & T1, T2 & automatic & unsupervised & 0.96 & - & 0.93 & 1 & 0.96 & -
\tabularnewline \hline
[30] & 2020 & hybrid deep auto encoder & T1, T2, T1ce, FLAIR & automatic & unsupervised & 98.50\% & 0.96 & 0.96 & 0.9954 & - & -
\tabularnewline \hline
[31] &2020& MM-GAN& T1, T2, T1ce, FLAIR& semi& unsupervised& - &- &-& - &0.6903& -
\tabularnewline \hline
[32]& 2021& DD-GAN &T1 ,T2w ,T1c , FLAIR &semi& unsupervised &-& 0.735 &0.613 &- &0.619& -
\tabularnewline \hline
\end{tabular*}
\end{table*}
答案1
- 大部分主题,因为您的问题已通过评论解决,但是,您可能有兴趣看看另一种编写表格的方法。
- 通过使用
tblr
包tabularray
,您的表格代码可以 - 当然在我看来 - 更加简洁和清晰:
\documentclass[twocolumn]{article}
\usepackage{tabularray}
\UseTblrLibrary{siunitx}
\begin{document}
%\begin{landscape}
\begin{table*}[ht]
\centering
\small
\begin{tblr}{hlines, vlines,
colsep = 4pt,
colspec = {c l X[1.3,l,m]
*{3}{X[0.8,l, m, cmd=\hspace{0pt}]}
X[0.7,l, m, cmd=\hspace{0pt}]
*{3}{X[0.6,l, m, cmd=\hspace{0pt}]}
*{2}{Q[l]} },
row{1} = {font=\footnotesize\bfseries\itshape, c}
}
Paper
& Year
& Methodology
& Modality
& Automatic
& Supervision
& Acc.
& Preci\-sion
& Sensi\-tivity
& Speci\-ficity
& DS*
& HS* \\
{[27]}
& 2022
& BiTr-Unet
& T1, T2, T1ce, FLAIR
& semi
& supervised
& \qty{95}{\%}
& - & - & - & 0.96
& 9.1647 \\
{[28]}
& 2021
& LBTS-Net
& T1, T2, FLAIR
& semi
& supervised
& \qty{98.11}{\%}
& - & - & - & \qty{91}{\%}
& - \\
{[29]}
& 2019
& stacked sparse auto encoder
& T1, T2
& automatic
& unsupervised
& 0.96
& - & 0.93
& 1 & 0.96
& - \\
{[30]}
& 2020
& hybrid deep auto encoder
& T1, T2, T1ce, FLAIR
& automatic
& unsupervised
& \qty{98.50}{\%}
& 0.96
& 0.96
& 0.9954
& - & - \\
{[31]}
& 2020
& MM-GAN& T1, T2, T1ce, FLAIR
& semi
& unsupervised
& - & - & - & - & 0.6903
& - \\
{[32]}
& 2021
& DD-GAN
& semi
& unsupervised
& - & 0.735
& 0.613
& - & 0.619
& - \\
\end{tblr}
\end{table*}
\end{document}
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