Computer Science
Deep Learning
100%
Domains
66%
Computer
60%
Learning Approach
50%
Experimental Result
50%
Image Segmentation
50%
Attention (Machine Learning)
50%
Image Analysis
44%
Detection
41%
Classification Accuracy
38%
Segmentation
38%
Histopathological Image
36%
Annotation
36%
Domain Adaptation
36%
Algorithms
34%
Models
33%
Classes
33%
Selective Attention
33%
Random Decision Forest
33%
Contextual Information
33%
Feature Fusion
33%
Superior Performance
31%
Deep Learning Model
27%
Information Loss
27%
Database
25%
Traditional Method
25%
Scanners
25%
Discriminator
25%
Aided Diagnosis
23%
Adversarial Machine Learning
22%
Superpixel
22%
Learning Framework
22%
Diagnosis
20%
image feature
18%
Classifier
17%
Diagnosis
16%
Fusion Technique
16%
Discriminative Feature
16%
Gray-Scale Images
16%
Scoring System
16%
Descriptors
16%
Benchmark
16%
Convolutional Network
16%
Color Distribution
16%
Person Re-Identification
16%
Detection Accuracy
16%
Computation
16%
Image Transformation
16%
Selection Process
16%
Network Estimation
16%
Medicine and Dentistry
Learning
35%
Pathologist
34%
Neoplasm
30%
Digital Pathology
25%
Analysis
22%
Scoring System
20%
Image Analysis
18%
Squamous Cell Lung Carcinoma
16%
Tissue Microarray
16%
Cancer Tissue
16%
Programmed Cell Death
16%
Histopathology
16%
Colorectal Cancer
16%
Breast Cancer
16%
Tissues
15%
Computer-Aided Diagnosis
13%
Pathology
8%
Cells
8%
Assessment
7%
Decision Making
6%
Tumor Biopsy
6%
Intraepithelial Neoplasia
6%
Biological Marker
6%
Biopsy
6%
Retina
5%
Position
5%
Attention
5%
Anatomical Concepts
5%
Retina Disease
5%
Optic Disc
5%
Semantics
5%
