Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches

( Ning Yu ) ( Zeng Yu ) ( Feng Gu ) ( Tianrui Li ) ( Xinmin Tian ) ( Yi Pan ) 2017년

연구자정보

공동연구/유사연구

논문점유율 요약
동일주제 총논문수	주제별 연구자 총논문수	연구자점유율(주제별 연구자점유율의 평균)
6,069	31	29.7%

연구자 점유율
주제		주제별 논문수	주제별 연구자논문수	주제별 연구자점유율
주제어	DNA Genome Analysis	1	1	100.0%
	Image Data Analysis	1	1	100.0%
	comparative methods	1	1	100.0%
	gene identification	1	1	100.0%
	protein-coding region	1	1	100.0%
	Sachelemente	2	1	50.0%
	gene prediction	2	1	50.0%
	lincrna	2	1	50.0%
	Normbereich	3	1	33.3%
	Normkonkretisierung	3	1	33.3%
	Normprogramm	3	1	33.3%
	Normtext	3	1	33.3%
	Rechtsnorm	3	1	33.3%
	결정규범	3	1	33.3%
	규범영역	3	1	33.3%
	Fourier Transform	8	1	12.5%
	법규범	9	1	11.1%
	hidden-markovmodel	23	1	4.3%
	fourier transform	29	1	3.4%
	Deep Neural Networks	33	1	3.0%
	hidden markov model	33	1	3.0%
	bioinformatics	92	1	1.1%
	support vector machine	221	1	0.5%
	Cloud Computing	230	1	0.4%
	cloud computing	374	1	0.3%
	Deep Learning	1,788	2	0.1%
	Machine Learning	1,367	2	0.1%
	deep learning	952	1	0.1%
	machine learning	878	1	0.1%
계		6,069	31
* 주제로 분류 되지 않은 논문건수			0