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A Pilot Study on Automatic Diagnosis of Cancer Cells Metastasis in Frozen Section Using Convolutional Neural Network

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䞿㎇὇

㔶ἓⰳ㦚 㧊㣿䞲 ☯ἆ㩞䘎㦮

㞪㎎䙂

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㡂⿖

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㡞゚㡆ῂ

㩫╖㧒*, ṫ㨂ῂ*, 㩚䡲Ⰶ*, 㡺㎎㫛*, ₖ㎇㻶**, ₖ㡗Ἲ**, Ὃἓ㡓**, ㏷㧎䡲***, ⹫㏢㡆****, 㞞㑮⹒****, 㧊䡚⋮**, 㟧☯䡚**, 㥶㤦㌗***** *┾ῃ╖䞯ᾦ 䅊䜾䎆䞯ὒ, **㍲㤎㞚㌆⼧㤦, ***㍲㤎㎇⳾⼧㤦, ****⿚╏㍲㤎╖䞯ᾦ⼧㤦, *****㍶ⶎ╖䞯ᾦ 㩫⽊䐋㔶Ὃ䞯ὒ wjdeodlf0123@gmail.com, jkkang3250@gmail.com, wjsur1028@gmail.com, sejongoh@dankook.ac.kr,

sungchul7039@gmail.com, younggon2.kim@gmail.com, gygong@amc.seoul.kr, shade03@naver.com, sypmd@snu.ac.kr, suminy317@gmail.com, hyunnalee@gmail.com, donghyun.yang@gmail.com,

wyou@sunmoon.ac.kr

G

A Pilot Study on Automatic Diagnosis of Cancer Cells

Metastasis in Frozen Section Using Convolutional Neural

Network

Dae-Il Jung*, Jae-Ku Kang*, Hye-Lynn Jeon*, Se-Jong Oh*, Sungchul Kim**, Young-Gon Kim**, Gyungyub Gong**, In Hye Song***, So Yeon Park****, Soomin Ahn****, Hyunna Lee**,

Dong Hyun Yang**, Wonsang You***** *Dept. of Computer Science, Dankook University,

**Asan Medical Center, ***Seoul St. Mary’s Hospital,

****Seoul National Univeristy Budang Hospital,

*****Dept. of Information and Communications Engineering, Sun Moon University 殚檃 ☯ἆ㩞䘎Ỗ㌂⓪ 㑮㑶ὒ 㡆Ἒ䞮㡂 㞪 㩚㧊 㡂⿖⯒ 䕦┾䞮₆ 㥚䞲 㦧 䞲 ⼧ⰂỖ㌂Ṗ 䞚㣪䞶 ➢ 㧊㣿♲┺. 䞿㎇὇ 㔶ἓⰳ㦖 㧊⹎㰖 ⿚⮮㠦 ⥆㠊⋲ ㎇⓻㦚 ⽊㧊⓪ ❻⩂┳ ₆⻫㦒⪲ ⽎ ⏒ⶎ㠦㍲⓪ 㧊⯒ 㧊㣿䞮㡂 㥶⹿㞪 㩚㧊 㡂⿖⯒ 㧦☯㩗㦒⪲ 㰚┾䞮⓪ ⹿⻫㦚 㩲㞞䞲┺. 㔺䠮ὒ㩫㦖 㩚㻮Ⰲ, 䞯 㔋, 䤚㻮Ⰲ㦮 ὒ㩫㦒⪲ ῂ㎇♮㠊 㧞㦒Ⳇ, 䞿㎇὇ 㔶ἓⰳ㦒⪲⓪ Resnet-18 ⳾◎㦚 ㌂㣿䞮㡖┺. 㔺䠮 ἆὒ 㡞䁷 㩫䢫☚ ⹥ 㫛㟧㦮 㾲╖ ₎㧊 㩫䞿 㡂⿖⯒ 㩦㑮⪲ 䢮㌆䞮㡂 㟓 0.514 㦮 ἆὒ⯒ ⽊㡖┺. 1. 昢嵦 ☯ἆ㩞䘎Ỗ㌂⓪ 㥶₆㣿㩲㢖 Ṗ㡊 ❇㦮 㻮Ⰲ 㠜㧊 ㎎䙂⌊㦮 ┾⺇㰞, 㰖㰞, Ṗ㣿㎇ 䟃㤦ⶒ㰞 ❇㦮 㥶㿲㧊 ⋮ ㌳㫊 ⓻⩻ ㌗㔺 㠜㧊 㔶㏣䞮Ợ 㰚┾㧊 Ṗ⓻䞮Ⳇ 㩚㧦䡚⹎ἓ 㑮㭖㦮 㥚䂮䢫㧎☚ Ṗ⓻䞲 㰚┾ ⹿⻫㧊┺. 䔏䧞, 㑮㑶ὒ 㡆Ἒ䞮㡂 㞪 㩚㧊 㡂⿖⯒ 䕦┾䞮₆ 㥚 䟊 㦧 䞲 ⼧ⰂỖ㌂Ṗ 䞚㣪䞶 ➢ 㧊㣿♲┺. 㑮㑶 㭧 㔲䟟♮⓪ ☯ἆ㩞䘎 ⼧ⰂỖ㌂⓪ 㩗㩞䞲 㑮 㑶 ⻪㥚⯒ ἆ㩫䞮⓪◆ ⰺ㤆 㭧㣪䞲 㡃䞶㦚 䞮Ợ ♮⓪ ◆, ☯ἆ㩞䘎 ⼧ⰂỖ㌂ 㔲Ṛ㧊 ₎㠊㰞 ἓ㤆 㑮㑶 ⹥ Ⱎ䀾 㔲Ṛ㧊 ₎㠊㪎 䢮㧦㠦Ợ 䟊⯒ ⋒䂶 㑮 㧞㦒Ⳇ, 䕦☛㧊 㧮ⴑ♶ ἓ㤆 㞪㦚 㢚㩚䧞 㩲Ệ䞮㰖 ⴑ䞮Ệ⋮, ⿞䞚㣪䞲 㩞㩲⪲ 㧎䞲 䞿⼧㯳㧊 ㌳₎ 㤆⩺Ṗ 㧞┺. 䔏䧞, 㥶⹿㞪 䢮㧦㠦㍲ 㑮㑶 㭧 Ṧ㔲Ⱂ䝚㩞 ☯ἆ㩞 䘎Ỗ㌂⓪ 㭒㣪 㞪 ▿㠊Ⰲ 㑮㑶 㔲 㞷㢖Ⱂ䝚㩞 㩞㩲㑶 㔲䟟 㥶ⶊ⯒ ἆ㩫䞮₆ 㥚䞮㡂 ┺㟧䞲 ₆ὖ㠦㍲ 㔲䟟 ♮ἶ 㧞┺. 㧊⓪ 㩚㧊Ṗ 㧞┺ἶ 䕦┾♲ 䢮㧦✺㠦ỢⰢ 㞷㢖Ⱂ䝚㩞 㩞㩲㑶㦚 㔲䟟䞮㡂 䞿⼧㯳㦚 ⹿㰖䞮⓪ ộ 㦒⪲ 䢮㧦㦮 ㌌㦮 㰞㦚 ⏨㧊₆ 㥚䞾㧊┺[1]. ☯ἆ㩞䘎Ỗ㌂⓪ ザ⯎ 㔲Ṛ ⌊㠦 㩫䢫䞲 䕦☛㧊 䞚㑮 㩗㧎 ⹮Ⳋ, 㥷㞞㦒⪲ 㞪 㩚㧊㡗㡃㦚 䕦┾䞮₆ 㠊⪋┺. 㧊⩂䞲 ⶎ㩲⯒ 䟊ἆ䞮₆ 㥚䞮㡂, ⽎ 㡆ῂ㠦㍲⓪ 2019 ⎚ 12 㤪 ㍲㤎㞚㌆⼧㤦㧊 㭒㾲䞲 㦮⬢㧎Ὃ㰖⓻ Ṳ⹲ 䆮䎢㓺䔎(ڣۀڧګٻ ڞۃڼۇۇۀۉۂۀٻ ڍڋڌڔڄ㠦㍲ 㩲Ὃ♲ ◆㧊䎆㠦 ₆⹮䞮㡂 ❻⩂┳ 㞢ἶⰂ㯮 Ṗ㤊◆ 䞮⋮㧎 䞿㎇὇ 㔶 ἓⰳ㦚 㧊㣿䞮㡂 ☯ἆ㩞䘎Ỗ㌂ 㔲 㥶⹿㞪 㩚㧊 㡂⿖ ⯒ 㧦☯㩗㦒⪲ 㰚┾䞮⓪ ⹿⻫㠦 ὖ䞲 㡞゚ 㡆ῂ⯒ 㑮 䟟䞮㡖┺.

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2. 分分崮櫶割

䞿㎇὇ 㔶ἓⰳ(Convolutional Nueral Network, 㧊䞮 CNN)㦖 ⳾◎㧊 㰗㩧 㧊⹎㰖, ゚❪㡺, 䎣㓺䔎 ⡦⓪ ㌂ 㤊✲⯒ ⿚⮮䞮⓪ 㞢ἶⰂ㯮㧊┺. CNN 㦖 㧊⹎㰖㠦㍲ ṳ 㼊, 㠒Ὴ, 㧻Ⳋ㦚 㧎㔳䞮₆ 㥚䟊 䕾䎊㦚 㺔⓪ ◆ 䔏䧞 Ⱔ㧊 ㌂㣿♲┺. CNN 㦖 ◆㧊䎆㠦㍲ 㰗㩧 䞯㔋䞮Ⳇ, 䕾 䎊㦚 ㌂㣿䞮㡂 㧊⹎㰖⯒ ⿚⮮䞮ἶ 䔏㰫㦚 㑮☯㦒⪲ 㿪㿲䞶 䞚㣪Ṗ 㠜⓪ ộ㧊 䔏㰫㧊┺.

H&E(Hematoxylin and Eosin) 㡒㌟㫆㰗 㧊⹎㰖 㧊㣿 䞲 㫆㰗䚲⽎㦚 ╖㌗㦒⪲ 㥶⹿㞪 㩚㧊 㡂⿖⯒ 㰚┾䞮 ⓪ ὒ㩫㠦㍲ CNN 㦚 㧊㣿䞲 㡆ῂ ἆὒṖ 㧞┺[2]-[4]. 䟊╏ 㡆ῂ㠦㍲⓪ 䃊䕢 Ἒ㑮(Cohen`s Kappa)⪲ 㩦㑮⯒ ₆⪳䞮㡖⓪◆, 㾲ἶ 0.8993 㦮 ⏨㦖 㩦㑮⯒ ₆⪳䞮㡖┺. 䟊╏ 㡆ῂ㠦㍲⓪ CNN 㦚 㧊㣿䞮㡂 㫆㰗䚲⽎㦚 ⿚㍳ 䞮⓪ ộ㦒⪲ 㫡㦖 ἆὒ⯒ ⽊㧒 㑮 㧞㦢㦚 ⽊㡖┺. ⁎Ⱂ 1 㦮 㣒㴓㦖 H&E 㡒㌟㫆㰗㦮 㧊⹎㰖㧊Ⳇ 㡺 ⯎㴓⓪ ☯ἆ㩞䘎㦮 㧊⹎㰖㧊┺. ⽎ 㡆ῂ㠦㍲⓪ ⚦ 㫆 㰗⼧Ⰲ㦮 㥶㌂㎇㦚 㧊㣿䞾ὒ ☯㔲㠦 㞢ἶⰂ㯮㦮 ⹲㩚 㦚 䐋䟊 ☯ἆ㩞䘎㦮 㞪㎎䙂 㩚㧊 㡂⿖⯒ 㧦☯㦒⪲ 㰚 ┾䞮⓪ ⹿⻫㦚 ⳾㌟䞮ἶ㧦 䞮㡖┺. ڃ⁎Ⱂٻڌڄٻڣځڠٻ㡒㌟㫆㰗ὒٻ☯ἆ㩞䘎ٻ㧊⹎㰖ٻ 3. 柪竞堆旇 ☯ἆ㩞䘎ٻ ◆㧊䎆⓪ٻ ㍲㤎㞚㌆⼧㤦ٻ 䢮㧦ٻ ڍڔڒ ⳛڇٻ ⿚ ╏ٻ㍲㤎╖䞯ᾦٻ⼧㤦ٻ䢮㧦ٻڏڑ ⳛ⪲⿖䎆ٻ䀾✳♮㠞┺ډٻ㫛 㟧ٻ 㔂⧒㧊✲ٻ ڌڏڌ Ṳ㢖ڇٻ 㩫㌗ٻ 㔂⧒㧊✲ٻ ڔڐ Ṳ⪲ٻ 䞯㔋ٻ ◆㧊䎆⯒ٻῂ㎇䞮㡖㦒Ⳇڇٻ䎢㓺䔎⓪ٻڑڍ Ṳ㦮ٻ㫛㟧ٻ㔂⧒ 㧊✲㢖ٻ ڏڐ Ṳ㦮ٻ 㩫㌗ٻ 㔂⧒㧊✲⪲ٻ 㰚䟟䞮㡖┺ډٻ 㽳ٻ 㫛 㟧ٻ㔂⧒㧊✲㦮ٻ㑮⓪ٻڍڋڎ Ṳ㧊Ⳇڇٻ㩫㌗ٻ㔂⧒㧊✲㦮ٻ㑮 ⓪ٻ ڌڏڋ Ṳ㡖┺ډٻ 䞯㔋ڇٻ Ỗ㯳ٻ ⹥ٻ 䎢㓺䔎⯒ٻ 㥚䟊ٻ ṗṗٻ ڌړړڇٻڏړڇٻڌڋڒ Ṳ㦮ٻ㌮䝢㧊ٻ㌂㣿♮㠞┺ډٻ ٻ 㔺䠮㠦ٻ ㌂㣿䞲ٻ ☯ἆ㩞䘎ٻ 㧊⹎㰖㦮ٻ 䔏㎇㦖ٻ 䚲ٻ ڌ 㠦ٻ 㣪㟓♮㠊ٻ㧞┺ډٻⰞ㓺䋂ٻ㧊⹎㰖㦮ٻἓ㤆ٻ㤦⽎ٻ㧊⹎㰖㦮ٻ ڌڊڌڑٻ 䋂₆⪲ٻ 㿫㏢♲ٻ 㧊⹎㰖㠦㍲ٻ 㫛㟧ٻ ⿖㥚Ṗٻ 㧚㌗㦮 㠦ٻ㦮䞮㡂ٻ㩫㦮♮㠊ٻ㧊㰚䢪ٻ♲ٻ䕢㧒㦮ٻ䡫䌲⪲ٻ㩲Ὃ♮ 㠞┺ډٻ ڗ䚲ٻڌڙٻڟڼۏڼێۀۏ 㦮ٻ㧊⹎㰖ٻ䔏㎇ٻ Format “.mrxs” Resolution 93,952 x 132,352 pixels

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MPP (micros per pixel) 0.221 Apparent magnification 20X Image bit depth 8 bits Color channel RGBA

ٻ 4. 柪竞愯憛 㔺䠮ٻ 㰚䟟⹿⻫㦖ٻ ⁎Ⱂٻ ڍ 㦒⪲ٻ 㣪㟓䞮㡂ٻ ㍺ⳛ䞲┺ډٻ 䋂Ợٻ 㩚㻮Ⰲڃګۍۀۋۍۊھۀێێۄۉۂڄڇٻ 䞯㔋ڃگۍڼۄۉۄۉۂڄڇٻ 䤚㻮 Ⰲڃګۊێۏۋۍۊھۀێێۄۉۂڄڇٻ㽳ٻ㎎ٻ┾Ἒ⪲ٻῂ⿚䞶ٻ㑮ٻ㧞┺ډٻٻ ڃ⁎Ⱂٻڍڄٻ㔺䠮ٻ㰚䟟⹿⻫ٻ㣪㟓ٻ Ⲓ㩖ٻ㧊⹎㰖ٻ㩚㻮Ⰲٻ ┾Ἒ㠦㍲⓪ٻ㎎䙂㢖ٻ⺆ἓ㦚ٻῂ ⿚䞮₆ٻ㥚䞮㡂ٻὖ㕂ٻῂ㡃ڃڭڪڤڄ㦚ٻ㧊㰚䢪䞮㡖┺ډٻ㧊✺ٻ Ṗ㤊㠦ٻ㎎䙂ٻ㡗㡃㦒⪲⿖䎆ٻڌڋڋڋ Ṳ㦮ٻ䞓㎖㦚ٻ㌮䝢Ⱇ䞲ٻ 䤚ڇٻṗٻ䞓㎖㦚ٻ㭧㕂㦒⪲ٻ䞮⓪ٻڍڐڑٻۓٻڍڐڑٻ䋂₆㦮ٻ䕾䂮 ڃۋڼۏھۃڄٻ 㧊⹎㰖⯒ٻ 㿪㿲䞮㡖┺ډٻ 㧊䤚ٻ 㫛㟧ٻ 㡂⿖㦮ٻ 㔺 䁷ٻ㩫⽊ڃۂۍۊېۉڿٻۏۍېۏۃڄ⯒ٻ╊ἶٻ㧞⓪ٻⰞ㓺䋂ٻ㧊⹎㰖㢖ٻ ╖㫆䞮㡂ٻṗٻ䕾䂮㦮ٻ㫛㟧ٻ㡂⿖⯒ٻ⧒⻾Ⱇ䞮㡖┺ډٻ ٻ 䞯㔋ٻ┾Ἒ㠦㍲⓪ٻ䞿㎇὇ٻ㔶ἓⰳ㦚ٻ㧊㣿䞮㡂ٻ䞯㔋㦚ٻ 㰚䟟䞮㡖┺ډٻ◆㧊䎆ٻ䞯㔋ٻ⳾◎⪲㍲ٻڌړ Ṳ㦮ٻ⩞㧊㠊⪲ٻ ῂ㎇♲ ۍۀێۉۀۏڈڌړ 㦚ٻ 㩗㣿䞮㡖┺ډٻ ⧲►䞮Ợٻ 㽞₆䢪♲ٻ Ṗ㭧䂮⪲⿖䎆ٻ 㔲㧧䞮㡂ڇٻ 䢫⮶㩗ٻ ἓ㌂ٻ 䞮ṫ⻫ڃڮڢڟڄ㠦ٻ ➆⧒ٻڋډڋڋڋڌ 㦮ٻ䞯㔋㥾⪲ٻṖ㭧䂮⯒ٻ㾲㩗䢪䞮㡖┺ډٻ䢲 ㎇䢪ٻ 䞾㑮⪲㍲ٻ ڭۀڧڰڇٻ ㏦㔺ٻ 䞾㑮⪲㍲ٻ ⪲㰖㓺䕇ٻ 㧊㰚ٻ ᾦ㹾ٻ㠪䔎⪲䞒ڃڝۄۉڼۍ۔ٻھۍۊێێٻۀۉۏۍۊۋ۔ٻےۄۏۃٻۇۊۂۄۏێڄṖٻ ㌂㣿♮㠞┺ډٻڌڍ 㦮ٻڝڼۏھۃٻێۄەۀ 㢖ٻ䞾℮ڇٻڎڋ ⻞㦮ٻۀۋۊھۃ Ṗٻ 㩗㣿♮㠞┺ډٻ 䞯㔋㦖ٻ 䃊䃊㡺ٻ 䋊⧒㤆✲㦮ٻ ἶ㎇⓻ٻ ڢګڰٻ䅊䜾䕛ٻ㔲㓺䎲㠦㍲ٻ㑮䟟♮㠞┺ډٻ ٻ 䤚㻮Ⰲٻ┾Ἒ㠦㍲⓪ٻ⳾✶ٻ㎎䙂㠦ٻ╖䞮㡂ٻ㿪⪶㦚ٻ㰚 䟟䞮㡂ٻ 䢫⮶ٻ 㰖☚ڃګۍۊڽڼڽۄۇۄۏ۔ٻ ۃۀڼۏۈڼۋڄ⯒ٻ ㌳㎇䞮㡖

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-2020 온라인 춘계학술발표대회 논문집 제27권 제1호 (-2020. 5)

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┺ډٻ㧚Ἒ㻮Ⰲڃۏۃۍۀێۃۊۇڿۄۉۂڄڇٻ䢖ٻ㺚㤖ڃۃۊۇۀٻہۄۇۇۄۉۂڄڇٻ ἓἚ㍶ٻ Ỗ㿲ٻ ⹥ٻ 㓺ⶊ❿ڃھۊۉۏۊېۍٻ ۀۓۏۍڼھۏۄۊۉٻ ڼۉڿٻ ێۈۊۊۏۃۄۉۂڄٻ₆⻫ٻ❇㦚ٻ㩗㣿䞮㡂ٻ䢫⮶㰖☚ٻ㧊⹎㰖⪲⿖ 䎆ٻṖ㧻ٻ䋆ٻ㞪ٻ㩚㧊ٻ㡗㡃㦚ٻ㿪㿲䞮㡖┺ډٻ㧊⪲⿖䎆ٻ䟊 ╏ٻ㧊⹎㰖㦮ٻ㫛㟧ٻ㡂⿖㢖ٻ㾲╖ٻ㞪ٻ㩚㧊ٻ㡗㡃㦮ٻ㾲㧻ٻ ₎㧊⯒ٻἚ㌆䞮㡖┺ډٻ ٻ 㫛㟧ٻ㡞䁷㦮ٻ㩫䢫☚⓪ٻ┺㦢ٻ⚦ٻṖ㰖ٻ⹿⻫㦒⪲ٻ䁷㩫 䞮㡖┺ډٻ㼁ٻ⻞㱎⓪ٻ㫛㟧ٻ㡂⿖ڃڨۀۏڼێۏڼێۄێڄ⯒ٻڭڪڞ 䄺ぢ 㦮ٻ ڜڰڞڃڜۍۀڼٻ ڰۉڿۀۍٻ ۏۃۀٻ ڞېۍۑۀڄ⯒ٻ ㌂㣿䞮㡂ٻ 䘟Ṗ䞮㡖 ┺ډٻ⚦ٻ⻞㱎⓪ٻ㫛㟧㦮ٻ㾲㧻ٻ₎㧊ڃڨڼۅۊۍٻڼۓۄێڄ⯒ٻ㩫╋ 㦮ٻ㡺㹾⻪㥚ڃധڐڀڄٻ⌊ٻ㩫䞿ٻ㡂⿖㠦ٻ➆⯎ٻ㩫䢫☚⪲ٻ䘟 Ṗ䞮㡖┺ډٻṗṗ㦚ٻڐڋڀ㝿ٻ⹮㡗䞮㡂ڇٻ㩫䢫☚ٻ㩦㑮⓪ٻ┺ 㦢ٻ㑮㔳ὒٻṯ㧊ٻ㩫㦮♮㠞┺ډٻ ٻ

Score = 0.5 x AUC of Metastasis + 0.5 x Acc of Major axisٻ ٻ ٻ 5. 柪柪竞冶刂 㡂⩂ٻ 㹾⪖㦮ٻ 㔺䠮ٻ ἆὒٻ Ṗ㧻ٻ ⏨㦖ٻ 㩫䢫☚ٻ 㩦㑮⓪ٻ ڋډڐڌڏ 㡖┺ډٻ㫛㟧ٻ㡂⿖㦮ٻ㩫䢫☚⓪ٻ䢫⮶㰖☚⪲⿖䎆ٻ㾲 ╖ٻ㞪ٻ㩚㧊ٻ㡗㡃㦚ٻ㿪㿲䞮⓪ٻ䤚㻮Ⰲٻὒ㩫㦮ٻ㎎⿖ٻ㍺ 㩫㠦ٻ➆⧒ٻ䋂Ợٻ╂⧒㰖⓪ٻ㟧㌗㦚ٻ⽊㡖┺ډٻ䔏䧞ڇٻ䞯㔋ٻ ◆㧊䎆ٻṖ㤊◆ٻṖ㧻ٻ㧧㦖ٻ㫛㟧㦮ٻ㾲㧻ٻ₎㧊⓪ٻڎڋډڑ 㧊 㠞⓪◆ڇٻ䤚㻮Ⰲٻὒ㩫㠦㍲ٻ㫛㟧㦮ٻ㾲㧻ٻ₎㧊㦮ٻ㧚Ἒ㩦 㦚ٻ ⌄Ợٻ ㍺㩫䞶ٻ ἓ㤆ٻ 㫛㟧ٻ 䕦⼚㦮ٻ 㩫䢫☚Ṗٻ 䡚㩖䧞ٻ 㩖䞮♮⓪ٻἆὒ⯒ٻ⽊㡖┺ډٻ ٻٻ 6. 冶嵦 ⽎ٻ⏒ⶎ㠦㍲⓪ٻ☯ἆ㩞䘎Ỗ㌂㠦㍲ٻ㞪㎎䙂ٻ㩚㧊ٻ㡂⿖ ⯒ٻ 㧦☯㦒⪲ٻ 㰚┾䞮₆ٻ 㥚䞲ٻ ❻⩂┳ٻ 㞢ἶⰂ㯮㦒⪲㍲ٻ 䞿㎇὇ٻ㔶ἓⰳ㧎ٻۍۀێۉۀۏڈڌړ 㦮ٻ㎇⓻㦚ٻ䘟Ṗ䞮㡖┺ډٻ ٻ 䆮䎢㓺䔎ٻ 㺎Ṗ㦮ٻ 䡫㔳㦒⪲ٻ 㩲䞲♲ٻ 㔲Ṛ㠦ٻ 㔺䠮㧊ٻ 㧊⬾㠊㪎ٻ Ⱒ㫇䞶ٻ Ⱒ䞲ٻ 㑮㭖㦮ٻ ἆὒ⯒ٻ 㠑㰖⓪ٻ ⴑ䞮㡖 㰖Ⱒڇٻ ㌂㩚䞯㔋ٻ ⳾◎㦮ٻ 㩗㣿ڇٻ 㩚㧊䞯㔋ڃۏۍڼۉێہۀۍٻ ۇۀڼۍۉۄۉۂڄڇٻ 䞮㧊䗒䕢⧒⹎䎆ٻ 㾲㩗䢪ڇٻ 㿪Ṗ㩗ٻ ◆㧊䎆ٻ ⼖㫆ڃڿڼۏڼٻ ڼېۂۈۀۉۏڼۏۄۊۉڄٻ ₆⻫㦮ٻ 㩗㣿ٻ ❇㦚ٻ 䙂䞾䞲ٻ 䤚㏣ٻ㡆ῂ⯒ٻ䐋䞮㡂ٻ㞪ٻ㩚㧊ٻ㡞䁷㦮ٻ㩫䢫☚⯒ٻ䟻㌗㔲 䌂ٻ㑮ٻ㧞㦚ٻộ㦒⪲ٻ₆╖♲┺ډٻ ٻ 㧊⻞ٻ㔺䠮㦮ٻἆὒ⓪ٻ 㧎Ὃ㰖⓻ٻ₆㑶㦚ٻ㌂㣿䞲ٻ 㥶⹿ 㞪ٻ 㧦☯㰚┾ٻ ₆㑶㦮ٻ 㧶㨂㩗ٻ 䣾㣿㎇ὒٻ ⹲㩚ٻ Ṗ⓻㎇㦚ٻ ⽊㡂㭖┺ډٻ ٻ Acknowledgement ⽎ٻ ⏒ⶎ㦖ٻ ڍڋڍڋ ⎚☚ٻ 㩫⿖ڃὒ䞯₆㑶㩫⽊䐋㔶⿖ڄ㦮ٻ 㨂㤦㦒⪲ٻ 㩫⽊䐋㔶₆䣣䘟Ṗ㤦㦮ٻ 㰖㤦㦚ٻ ⹱㞚ٻ 㑮䟟♲ٻ 㡆ῂ㧚ٻڃڍڋڌړڈڋڈڋڋڍڏڍډٻ゛◆㧊䎆ٻ₆⹮ٻ㧎Ὃ㰖⓻ٻ㞞ὒٻ 㰚┾₆㑶ٻ⹥ٻ㓺Ⱎ䔎ٻ㰚⬢ٻ䝢⨁䙒ٻṲ⹲ڄٻ 焾処怾竒

[1] Langer I, Guller U, Berclaz G, Koechli OR, Schaer G, Fehr MK, et al. Morbidity of sentinel lymph node biopsy (SLN) alone versus SLN and completion axillary lymph node dissection after breast cancer surgery: a prospective Swiss multicenter study on 659 patients. Ann Surg 2007;245:452-61.

[2] Bándi, P., Geessink, O., Manson, Q., Dijk, M., Balkenhol, M., Hermsen, M., Bejnordi, B., Lee, B., Paeng, K., Zhong, A., Li, Q., Zanjani, F., Zinger, S., Fukuta, K., Komura, D., Ovtcharov, V., Cheng, S., Zeng, S., Thagaard, J., Dahl, A., Lin, H., Chen, H., Jacobsson, L., Hedlund, M., Çetin, M., Halıcı, E., Jackson, H., Chen, R., Both, F., Franke, J., Küsters-Vandevelde, H., Vreuls, W., Bult, P., Ginneken, B., Laak, J., Litjens, G. (2019). From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge IEEE Transactions on Medical Imaging 38(2), 550-560. [3] Litjens, G., Bandi, P., Bejnordi, B., Geessink, O.,

Balkenhol, M., Bult, P., Halilovic, A., Hermsen, M., Loo, R., Vogels, R., Manson, Q., Stathonikos, N., Baidoshvili, A., Diest, P., Wauters, C., Dijk, M., Laak, J. (2018). 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. GigaScience 7(6), giy065.

[4] Bejnordi, B., Veta, M., Diest, P., Ginneken, B., Karssemeijer, N., Litjens, G., Laak, J., Consortium, a., Hermsen, M., Manson, Q., Balkenhol, M., Geessink, O., Stathonikos, N., Dijk, M., Bult, P., Beca, F., Beck, A., Wang, D., Khosla, A., Gargeya, R., Irshad, H., Zhong, A., Dou, Q., Li, Q., Chen, H., Lin, H., Heng, P., Haß, C., Bruni, E., Wong, Q., Halici, U., Öner, M., Cetin-Atalay, R., Berseth, M., Khvatkov, V., Vylegzhanin, A., Kraus, O., Shaban, M., Rajpoot, N., Awan, R., Sirinukunwattana, K., Qaiser, T., Tsang, Y., Tellez, D., Annuscheit, J., Hufnagl, P., Valkonen, M., Kartasalo, K., Latonen, L., Ruusuvuori, P., Liimatainen, K., Albarqouni, S., Mungal, B., George, A., Demirci, S., Navab, N., Watanabe, S., Seno, S., Takenaka, Y., Matsuda, H., Phoulady, H., Kovalev, V., Kalinovsky, A., Liauchuk, V., Bueno, G., Fernandez-Carrobles, M., Serrano, I., Deniz, O., Racoceanu, D., Venâncio, R. (2017). Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer JAMA 318(22), 2199.

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