%PDF-1.4
%
7 0 obj
(1 Introduction)
endobj
8 0 obj
<< /D (subsection.1.1) /S /GoTo >>
endobj
11 0 obj
(1.1 Motivation)
endobj
12 0 obj
<< /D (subsection.1.2) /S /GoTo >>
endobj
15 0 obj
(1.2 Related Works)
endobj
16 0 obj
<< /D (subsection.1.3) /S /GoTo >>
endobj
19 0 obj
(1.3 Contribution)
endobj
20 0 obj
<< /D (section.2) /S /GoTo >>
endobj
23 0 obj
(2 Methods)
endobj
24 0 obj
<< /D (subsection.2.1) /S /GoTo >>
endobj
27 0 obj
(2.1 Dataset)
endobj
28 0 obj
<< /D (subsection.2.2) /S /GoTo >>
endobj
31 0 obj
(2.2 Automatic Segmentation)
endobj
32 0 obj
<< /D (subsection.2.3) /S /GoTo >>
endobj
35 0 obj
(2.3 Survival Prediction)
endobj
36 0 obj
<< /D (subsubsection.2.3.1) /S /GoTo >>
endobj
39 0 obj
(2.3.1 Handcrafted Features)
endobj
40 0 obj
<< /D (subsubsection.2.3.2) /S /GoTo >>
endobj
43 0 obj
(2.3.2 SurvivalNet: 3D Convolutional Neural Network)
endobj
44 0 obj
<< /D (section.3) /S /GoTo >>
endobj
47 0 obj
(3 Results)
endobj
48 0 obj
<< /D (subsection.3.1) /S /GoTo >>
endobj
51 0 obj
(3.1 Qualitative)
endobj
52 0 obj
<< /D (subsection.3.2) /S /GoTo >>
endobj
55 0 obj
(3.2 Quantitative)
endobj
56 0 obj
<< /D (section.4) /S /GoTo >>
endobj
59 0 obj
(4 Conclusion and Discussion)
endobj
60 0 obj
<< /D (section.5) /S /GoTo >>
endobj
63 0 obj
(5 Acknowledgement)
endobj
64 0 obj
<< /D (section.6) /S /GoTo >>
endobj
67 0 obj
(6 References)
endobj
68 0 obj
<< /D [ 69 0 R /Fit ] /S /GoTo >>
endobj
82 0 obj
<< /Filter /FlateDecode /Length 4321 >>
stream
xڵZYsH~Kǂ1&@YlزWcDL Ǹտ~̬AyTQo;^2fQ,IQdq^|vn?,ꇥ"2 7ﮮߘ>-ȹBY*^z./?^}Wo]^~bxnWnrgk̹sή/tef]J_y~v{~_wYp2>]MٵYpDZ9asqO7ݏKL-mDVqf:H4dK?r-u.^K|Ӗ]/"qi3\TZR&B7P!T'KiXMvk9EWeۙS$CDot.y,NN캲9G껾9f dBH O2Ti膱I]i]GJ~i{F|Lγwc2ɼ6|~@@tguU"ۿaI/BLJz_0(YҏꙻUԎ}'tݗuwfCw"E^^senS4X^U؍36/{[u9_kf$" $N XVkJ
̌CE滩g9>h9\nao
Smَ役
&avvqlpUiNfeWZZkYzo3W|3zJ)P-$S4`W(5}鿉5жzsҺcG7Zֽn쿁m7U#nmZyR.W
=8fd0N`b/С
o}K-+n5/g6!Њn_kb/puۗ7_U^ˮiK4kiTz_J?䘉rG0q#4W*s\
w#'k2xP@`lmڣЩzUf(L`hwwy*oVmQX.'Fl~|"9~|"(gW#=Ll욞Ԛ荐sZbJ2luޛˡKPԳ|,uGTqji%t08K`fm_FsR$7ݵ1O+[M29܅O8m^ PjwHWF;@Qfk # SbCp6qzUA!zWR(,kz'+Z.?_