4,193papers
4,193worldwide comparison pool
—India-affiliated papers
Research orientation
Contribution mix
Tone counts: 4,102 positive · 70 neutral · 21 negative.
Common problems researchers identify
125 papers · 3.0% of this field
- Computer-aided diagnosis47 papers
- Mammography20 papers
- Breast cancer19 papers
- Segmentation16 papers
- Diabetic retinopathy11 papers
- Lung cancer9 papers
- Nodule8 papers
- Image processing7 papers
Landmark: Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic
Cautions
58 papers · 1.4% of this field
- Computer-aided diagnosis14 papers
- Mammography14 papers
- Breast cancer10 papers
- Radiology7 papers
- Colonoscopy5 papers
- Receiver operating characteristic5 papers
- Pattern recognition5 papers
- Digital mammography4 papers
Landmark: Computer-aided diagnosis for colonoscopy
Opportunities
3,461 papers · 82.5% of this field
- Pattern recognition1,049 papers
- Segmentation815 papers
- Computer-aided diagnosis644 papers
- Convolutional neural network523 papers
- Mammography440 papers
- Support vector machine411 papers
- Breast cancer339 papers
- Feature extraction190 papers
Landmark: ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseas
Leading institutions
National Center for Biotechnology Information
4,447 National Institutes of Health
4,447 Rutgers, The State University of New Jersey
2,924 Radboud University Nijmegen
2,811 Radboud University Medical Center
2,445 University of Chicago
2,136 Leading researchers
Mohammadhadi Bagheri
3,182 Highly cited breakthrough-labelled papers
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases3,182 citations
- Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network1,317 citations
- A curated mammography data set for use in computer-aided detection and diagnosis research761 citations
- Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration650 citations
- Breast cancer detection using deep convolutional neural networks and support vector machines489 citations
Common problems researchers identify
121 papers · 4 recurring themes
Common problems researchers identify · 01Nodule / Computer-Aided Diagnosis
38 papers31.4% of this theme group
Nodule (9) · Computer-aided diagnosis (26) · Lung (7) · Lung cancer (8)
Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images
New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs
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Common problems researchers identify · 02Computer-Aided Diagnosis / Computer-Aided
35 papers28.9% of this theme group
Computer-aided diagnosis (24) · Computer-aided (5) · Medical diagnosis (4) · Skin cancer (3)
Evaluation of computer-aided detection and diagnosis systems<sup>a)</sup>
Computer aided detection and diagnosis in medical imaging
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Common problems researchers identify · 03Mammography / Breast Cancer
29 papers24.0% of this theme group
Mammography (20) · Breast cancer (19) · Breast imaging (4) · Preprocessor (5)
Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review
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Common problems researchers identify · 04Diabetic Retinopathy / Fundus
19 papers15.7% of this theme group
Diabetic retinopathy (10) · Fundus (6) · Retinopathy (5) · Retinal (4)
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy
Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification
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Cautions
58 papers · 4 recurring themes
Cautions · 01Mammography / Breast Cancer
21 papers36.2% of this theme group
Mammography (16) · Breast cancer (12) · Digital mammography (5) · Computer-aided diagnosis (8)
Application of CAD in the diagnosis of breast cancer
Computer‐Aided Detection in Breast Magnetic Resonance Imaging: a Review
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Cautions · 02Pattern Recognition / Support Vector Machine
21 papers36.2% of this theme group
Pattern recognition (5) · Support vector machine (4) · Computer-aided diagnosis (8) · Magnetic resonance imaging (3)
How to Discriminate between Computer-Aided and Computer-Hindered Decisions
Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection
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Cautions · 03Receiver Operating Characteristic / Radiography
11 papers19.0% of this theme group
Receiver operating characteristic (4) · Radiography (3) · Nodule (3) · Lung cancer (3)
Observer training for computer-aided detection of pulmonary nodules in chest radiography
Impact of Voxel Normalization on Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tom
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Cautions · 04Colonoscopy / Virtual Colonoscopy
5 papers8.6% of this theme group
Colonoscopy (5) · Virtual colonoscopy (2) · Colorectal Polyp (2) · Computer-aided diagnosis (3)
Computer-aided diagnosis for colonoscopy
Colonic polyps: application value of computer-aided detection in computed tomographic colonography.
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Opportunities
3,256 papers · 7 recurring themes
Opportunities · 01Pattern Recognition / Segmentation
655 papers20.1% of this theme group
Pattern recognition (381) · Segmentation (254) · Image segmentation (83) · Support vector machine (121)
Computer-Aided Pathology Image Classification and Segmentation Joint Analysis Model
Application of Computer-Aided Diagnosis Technology in Brain Tumour Detection
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Opportunities · 02Computer-Aided Diagnosis / Computer-Aided
614 papers18.9% of this theme group
Computer-aided diagnosis (385) · Computer-aided (47) · Radiology (76) · Virtual colonoscopy (18)
Computer Aided Diagnosis System for Detection of Lung Cancer in CT Scan Images
Computer-aided detection systems to improve lung cancer early diagnosis: state-of-the-art and challenges
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Opportunities · 03Breast Cancer / Breast Ultrasound
526 papers16.2% of this theme group
Breast cancer (260) · Breast ultrasound (76) · Mammography (156) · Breast MRI (36)
Classification of breast cancer mammogram images using convolution neural network
A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques
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Opportunities · 04Lung Cancer / Nodule
523 papers16.1% of this theme group
Lung cancer (141) · Nodule (116) · Lung (86) · Computer-aided diagnosis (184)
Analysis of various classification techniques for computer aided detection system of pulmonary nodules in CT
A computer aided diagnosis system for detection of lung nodules from series of CT slices
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Opportunities · 05Convolutional Neural Network / Transfer Of Learning
386 papers11.9% of this theme group
Convolutional neural network (311) · Transfer of learning (57) · Coronavirus disease 2019 (37) · Pattern recognition (152)
Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different i
Computer‐Aided Diagnosis Research of a Lung Tumor Based on a Deep Convolutional Neural Network and Global Features
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Opportunities · 06Mammography / Digital Mammography
359 papers11.0% of this theme group
Mammography (271) · Digital mammography (56) · Microcalcification (41) · Pattern recognition (166)
Textural features based computer aided diagnostic system for mammogram mass classification
Computer aided detection of breast masses in mammography using support vector machine classification
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Opportunities · 07Diabetic Retinopathy / Fundus
193 papers5.9% of this theme group
Diabetic retinopathy (82) · Fundus (94) · Retinal (50) · Glaucoma (39)
Proposed retinal abnormality detection and classification approach: Computer aided detection for diabetic retinopathy by machine learning ap
Computer Aided Diagnosis for Diabetic Retinopathy based on Fundus Image
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How this field compares with the research baseline
Orientation shares compared with 25,000 papers in the reference sample.
Concerns receiving less research attention
Counts and shares refer to the stated research pool. A low count describes how much of that research is recorded here, not the absence of a real-world concern.
Institution and researcher rankings use citations to their covered work. Research scope: worldwide. This may be broader than the company geography.